# kamiwaza.ai > AI-optimized mirror of kamiwaza.ai containing 1088 pages totalling 746,492 words of clean markdown content, structured data, and semantic HTML. Original source: https://kamiwaza.ai. Last updated: 2026-07-29T05:29:34.088Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [Welcome to Kamiwaza AI Docs | Kamiwaza Docs](/content/docs/index.html): Welcome to the official documentation for the Kamiwaza AI Platform, the solution for building, deploying, and scaling production-grade AI applications. (329 words) - [Kamiwaza: Enterprise AI Orchestration Platform for Distributed Data](/content/site-root.html): An AI orchestration engine built for distributed infrastructure - on-prem, cloud, or edge - without compromising security. Deploy AI in days not months. (559 words) ## Articles & Blog Posts - [MTS - GenAI Platform Engineer | Kamiwaza Docs](/content/docs/0-5-0/team/mts/index.html): Join the AI Revolution from Anywhere | Member of Technical Staff (GenAI Platform Engineer) (680 words) - [MTS - GenAI Platform Engineer | Kamiwaza Docs](/content/docs/0-8-0/team/mts/index.html): Join the AI Revolution from Anywhere | Member of Technical Staff (GenAI Platform Engineer) (685 words) - [MTS - GenAI Platform Engineer | Kamiwaza Docs](/content/docs/0-7-0/team/mts/index.html): Join the AI Revolution from Anywhere | Member of Technical Staff (GenAI Platform Engineer) (706 words) - [MTS - GenAI Platform Engineer | Kamiwaza Docs](/content/docs/0-6-0/team/mts/index.html): Join the AI Revolution from Anywhere | Member of Technical Staff (GenAI Platform Engineer) (706 words) - [Operations & Troubleshooting | Kamiwaza Docs](/content/docs/1-0-0/federation/operations/index.html): Operational runbook for federated mesh operations. Covers setup verification, common failure modes, job monitoring, and diagnostic queries. (1,963 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-7-1/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (551 words) - [MTS - GenAI Platform Engineer | Kamiwaza Docs](/content/docs/0-8-1/team/mts/index.html): Join the AI Revolution from Anywhere | Member of Technical Staff (GenAI Platform Engineer) (706 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (530 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/1-0-0/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (548 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-13-0/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (541 words) - [MTS - GenAI Platform Engineer | Kamiwaza Docs](/content/docs/0-7-1/team/mts/index.html): Join the AI Revolution from Anywhere | Member of Technical Staff (GenAI Platform Engineer) (686 words) - [Operations & Troubleshooting | Kamiwaza Docs](/content/docs/1-0-1/federation/operations/index.html): Operational runbook for federated mesh operations. Covers setup verification, common failure modes, job monitoring, and diagnostic queries. (1,962 words) - [Federation Setup | Kamiwaza Docs](/content/docs/1-0-0/federation/setup/index.html): This guide walks through creating a federation between two Kamiwaza clusters and verifying cross-cluster operations. (789 words) - [MTS - GenAI Platform Engineer | Kamiwaza Docs](/content/docs/0-9-0/team/mts/index.html): Join the AI Revolution from Anywhere | Member of Technical Staff (GenAI Platform Engineer) (706 words) - [license/index.html](/content/license/index.html) (220 words) - [Federated Retrieval | Kamiwaza Docs](/content/docs/1-0-0/federation/retrieval/index.html): Federated retrieval lets you discover and query data on remote clusters without the data leaving its origin. The mesh proxy routes your requests transparently — the remote cluster's catalog and retrieval services process them as if they were local. (661 words) - [System Requirements | Kamiwaza Docs](/content/docs/1-0-1/installation/system_requirements/index.html): Hardware Requirements (2,276 words) - [Gate Packages | Kamiwaza Docs](/content/docs/1-0-0/federation/gate-packages/index.html): Gate packages let you install custom ExecutionGate and AttributeGate classes onto a paired cluster from a Python package index — without rebuilding the platform image. Shipped in kamiwaza-mesh-v1.0.0. (645 words) - [System Requirements | Kamiwaza Docs](/content/docs/1-0-0/installation/system_requirements/index.html): Hardware Requirements (2,316 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-12-0/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,352 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-6-0/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,125 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-12-0/installation/gpu_setup_guide/index.html): Overview (1,414 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-7-1/installation/gpu_setup_guide/index.html): Overview (1,419 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-8-0/installation/system_requirements/index.html): Base System Requirements (1,589 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/embedding/index.html): Overview (293 words) - [Gate Packages | Kamiwaza Docs](/content/docs/1-0-1/federation/gate-packages/index.html): Gate packages let you install custom ExecutionGate and AttributeGate classes onto a paired cluster from a Python package index — without rebuilding the platform image. Shipped in kamiwaza-mesh-v1.0.0. (992 words) - [Execution Gates (Federated Authz) | Kamiwaza Docs](/content/docs/1-0-0/federation/execution-gates/index.html): The federated job service on the receiving cluster consults a pluggable (832 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-9-0/installation/system_requirements/index.html): Base System Requirements (2,010 words) - [Federation Setup | Kamiwaza Docs](/content/docs/1-0-1/federation/setup/index.html): This guide walks through creating a federation between two Kamiwaza clusters and verifying cross-cluster operations. (756 words) - [Graphiti Service Guide | Kamiwaza Docs](/content/docs/extensions/graphiti/graphiti-service-guide/index.html): Deploy and operate the Graphiti knowledge graph service in Kamiwaza. (731 words) - [Federation Overview | Kamiwaza Docs](/content/docs/1-0-0/federation/overview/index.html): Kamiwaza cluster federation enables cross-cluster operations between paired Kamiwaza clusters. A federated cluster can query remote data, list remote models, and execute compute jobs on its partner — all through a secured mesh proxy with HMAC-signed trust and ReBAC authorization. (570 words) - [Execution Gates (Federated Authz) | Kamiwaza Docs](/content/docs/1-0-1/federation/execution-gates/index.html): The federated job service on the receiving cluster consults a pluggable (838 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-8-0/security/rebac-deployment-guide/index.html): Use this guide to bring the Kamiwaza authentication and relationship-based access control (ReBAC) stack online for lab, pilot, or production deployments. It assumes you have installed the current Kamiwaza platform bundle (RPM or container images) and can restart services via the provided scripts. (2,085 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-11-0/installation/system_requirements/index.html): Hardware Requirements (1,084 words) - [MTS - Senior Software Engineer | Kamiwaza Docs](/content/docs/1-0-1/team/mts/index.html): Role Overview (546 words) - [MTS - Senior Software Engineer | Kamiwaza Docs](/content/docs/0-11-0/team/mts/index.html): Role Overview (547 words) - [Job Submission | Kamiwaza Docs](/content/docs/1-0-0/federation/job-submission/index.html): Submit and manage Ray jobs on local or remote clusters. Jobs run Python entrypoints on the cluster's Ray runtime and can return structured results via a log marker protocol. (371 words) - [MTS - Senior Software Engineer | Kamiwaza Docs](/content/docs/1-0-0/team/mts/index.html): Role Overview (522 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-9-0/installation/gpu_setup_guide/index.html): Overview (1,144 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-9-0/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,066 words) - [Job Submission | Kamiwaza Docs](/content/docs/1-0-1/federation/job-submission/index.html): Submit and manage Ray jobs on local or remote clusters. Jobs run Python entrypoints on the cluster's Ray runtime and can return structured results via a log marker protocol. (373 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-5-0/installation/gpu_setup_guide/index.html): Overview (1,388 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-5-0/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,374 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-5-1/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (540 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-7-1/installation/system_requirements/index.html): Base System Requirements (1,403 words) - [Kaizen Changelog | Kamiwaza Docs](/content/docs/extensions/kaizen/changelog/index.html): Version history and changes for Kaizen. (781 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-12-0/installation/windows_installation_guide/index.html): System Requirements (945 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-12-0/installation/system_requirements/index.html): Hardware Requirements (746 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-6-0/installation/gpu_setup_guide/index.html): Overview (1,381 words) - [Two-Node Deployment (Remote GPU) | Kamiwaza Docs](/content/docs/0-12-0/installation/two-node-deployment/index.html): Kamiwaza supports a two-node topology where the control plane and model serving span two hosts using tensor parallelism. This enables larger models and higher throughput by pooling GPU resources across nodes. (1,053 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/1-0-1/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (483 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/1-0-1/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,136 words) - [Authentication Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/auth/index.html): Overview (396 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-5-0/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (541 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-6-0/installation/system_requirements/index.html): Base System Requirements (1,429 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-9-0/security/rebac-deployment-guide/index.html): Use this guide to bring the Kamiwaza authentication and relationship-based access control (ReBAC) stack online for lab, pilot, or production deployments. It assumes you have installed the current Kamiwaza platform bundle (RPM or container images) and can restart services via the provided scripts. (2,046 words) - [Authentication Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/auth/index.html): Overview (396 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/cluster/index.html): Overview (366 words) - [MTS - Senior Software Engineer | Kamiwaza Docs](/content/docs/0-12-0/team/mts/index.html): Role Overview (547 words) - [Community Edition Installation on Linux and macOS | Kamiwaza Docs](/content/docs/0-8-0/installation/linux_macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on Linux and macOS using the pre-built tarball bundles. (792 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-7-0/installation/system_requirements/index.html): Base System Requirements (976 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-8-1/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (549 words) - [Kamiwaza Offline Installation Guide for Red Hat Enterprise Linux | Kamiwaza Docs](/content/docs/0-6-0/installation/redhat_offline_install/index.html): Overview (765 words) - [Model Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/models/index.html): Overview (388 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-8-0/installation/gpu_setup_guide/index.html): Overview (1,370 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-11-0/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (485 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/serving/index.html): Overview (352 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-12-0/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (485 words) - [Model Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/models/index.html): Overview (388 words) - [MTS - Senior Software Engineer | Kamiwaza Docs](/content/docs/team/mts/index.html): Role Overview (522 words) - [VectorDB Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/vectordb/index.html): Overview (332 words) - [Offline Installation | Kamiwaza Docs](/content/docs/1-0-0/installation/offline_install/index.html): The offline installer is for air-gapped or restricted RHEL 9 environments with no outbound internet access on the target host. You download the Kamiwaza bundle on a connected machine, transfer it to the target host, and install without pulling anything from the internet during installation. (1,246 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/serving/index.html): Overview (409 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/cluster/index.html): Overview (373 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/lab/index.html): Overview (268 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/catalog/index.html): Overview (327 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-7-0/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,346 words) - [VectorDB Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/vectordb/index.html): Overview (332 words) - [VectorDB Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/vectordb/index.html): Overview (325 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/ingestion/index.html): Overview (336 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/embedding/index.html): Overview (293 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/catalog/index.html): Overview (352 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/ingestion/index.html): Overview (300 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-7-0/installation/gpu_setup_guide/index.html): Overview (1,403 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-6-0/installation/windows_installation_guide/index.html): System Requirements (820 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/lab/index.html): Overview (262 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-9-0/installation/windows_installation_guide/index.html): System Requirements (851 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-11-0/installation/windows_installation_guide/index.html): System Requirements (946 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/retrieval/index.html): Overview (240 words) - [RHEL9 Offline Production Install | Kamiwaza Docs](/content/docs/0-12-0/installation/redhat_offline_install/index.html): This guide covers a fresh Kamiwaza production install on a RHEL9 host using the (891 words) - [Operations & Troubleshooting | Kamiwaza Docs](/content/docs/federation/operations/index.html): Operational runbook for federated mesh operations. Covers setup verification, common failure modes, job monitoring, and diagnostic queries. (1,925 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/1-0-1/security/rebac-deployment-guide/index.html): Use this guide to enable relationship-based access control (ReBAC) in a customer deployment of Kamiwaza. It is written for the current Kubernetes-based platform and assumes configuration is managed through your deployment values, Kubernetes Secrets, and cluster release workflow. (778 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/serving/index.html): Overview (410 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-13-0/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,321 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-8-0/installation/windows_installation_guide/index.html): System Requirements (851 words) - [Model Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/models/index.html): Overview (388 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-8-1/security/rebac-deployment-guide/index.html): Use this guide to bring the Kamiwaza authentication and relationship-based access control (ReBAC) stack online for lab, pilot, or production deployments. It assumes you have installed the current Kamiwaza platform bundle (RPM or container images) and can restart services via the provided scripts. (2,135 words) - [Ontology Graph Viewer Runbook | Kamiwaza Docs](/content/docs/1-0-1/runbooks/ontology-graph-viewer/index.html): The Graph tab in a workroom shows a knowledge graph built from the workroom's sources. The Graph tab renders an empty or "being set up" state when the underlying ontology graph instance for the workroom is not yet running. This page describes what those states mean and how to recover from them. (1,209 words) - [Kamiwaza Offline Installation Guide for Red Hat Enterprise Linux | Kamiwaza Docs](/content/docs/0-7-1/installation/redhat_offline_install/index.html): Overview (757 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-8-1/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [Workroom Runtime Contract | Kamiwaza Docs](/content/docs/1-0-1/workrooms/runtime-contract/index.html): Public contract for workroom-scoped runtimes, membership changes, and collaboration streams in Kamiwaza. (801 words) - [Kamiwaza Offline Installation Guide for Red Hat Enterprise Linux | Kamiwaza Docs](/content/docs/0-9-0/installation/redhat_offline_install/index.html): Overview (751 words) - [Two-Node Deployment (Remote GPU) | Kamiwaza Docs](/content/docs/1-0-1/installation/two-node-deployment/index.html): Kamiwaza supports a two-node topology where the control plane and model serving span two hosts using tensor parallelism. This enables larger models and higher throughput by pooling GPU resources across nodes. (1,053 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/retrieval/index.html): Overview (240 words) - [Community Edition Installation on Linux and macOS | Kamiwaza Docs](/content/docs/0-6-0/installation/linux_macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on Linux and macOS using the pre-built tarball bundles. (792 words) - [Kamiwaza Offline Installation Guide for Red Hat Enterprise Linux | Kamiwaza Docs](/content/docs/0-8-0/installation/redhat_offline_install/index.html): Overview (748 words) - [Online Installation | Kamiwaza Docs](/content/docs/1-0-1/installation/online_install/index.html): The online installer is the recommended way to install Kamiwaza 1.0.1 on an internet-connected host. It is a single self-contained script that bundles the deploy payload, playbooks, and Helm chart dependencies. Host tools are installed from your OS package manager, and the Kamiwaza platform images are pulled from Keygen. (880 words) - [Model Deployment | Kamiwaza Docs](/content/docs/1-0-1/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (662 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/ingestion/index.html): Overview (297 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-9-0/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (536 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/lab/index.html): Overview (262 words) - [Kamiwaza Installation Guide for Red Hat Enterprise Linux | Kamiwaza Docs](/content/docs/0-12-0/installation/redhat_online_install/index.html): Overview (754 words) - [Offline Installation | Kamiwaza Docs](/content/docs/1-0-1/installation/offline_install/index.html): The offline installer is for air-gapped or restricted RHEL 9 environments with no outbound internet access on the target host. You download the Kamiwaza bundle on a connected machine, transfer it to the target host, and install without pulling anything from the internet during installation. (668 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/cluster/index.html): Overview (366 words) - [Community Edition Installation on Linux and macOS | Kamiwaza Docs](/content/docs/0-9-0/installation/linux_macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on Linux and macOS using the pre-built tarball bundles. (760 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/embedding/index.html): Overview (314 words) - [Online Installation | Kamiwaza Docs](/content/docs/1-0-0/installation/online_install/index.html): The online installer is the recommended way to install Kamiwaza 1.0.0 on an internet-connected host. It is a single self-contained script that bundles the deploy payload, playbooks, and Helm chart dependencies. Host tools are installed from your OS package manager, and the Kamiwaza platform images are pulled from Keygen. (848 words) - [Community Edition Installation on macOS | Kamiwaza Docs](/content/docs/0-12-0/installation/macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on macOS using the pre-built tarball bundle. (242 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-5-1/installation/gpu_setup_guide/index.html): Overview (1,089 words) - [CAC Overview | Kamiwaza Docs](/content/docs/1-0-1/federal/cac-overview/index.html): Prerequisites (420 words) - [Authentication Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/auth/index.html): Overview (396 words) - [Community Edition Installation on Linux and macOS | Kamiwaza Docs](/content/docs/0-7-1/installation/linux_macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on Linux and macOS using the pre-built tarball bundles. (792 words) - [Community Edition Installation on Linux and macOS | Kamiwaza Docs](/content/docs/0-7-0/installation/linux_macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on Linux and macOS using the pre-built tarball bundles. (700 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/1-0-1/security/rebac-validation-checklist/index.html): Use this checklist after enabling authentication and ReBAC in a customer environment. It is designed for public, customer-facing deployments and avoids internal bootstrap helpers, seeded demo users, and local compose workflows. (603 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/0-13-0/retrieval-service/index.html): The retrieval service exposes a job-based API for accessing dataset content. It supports inline responses for small datasets, server-sent events (SSE) for streaming, and gRPC for high-throughput consumers. (215 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/catalog/index.html): Overview (348 words) - [Ontology Graph Viewer Runbook | Kamiwaza Docs](/content/docs/1-0-0/runbooks/ontology-graph-viewer/index.html): The Graph tab in a workroom shows a knowledge graph built from the workroom's sources. The Graph tab renders an empty or "being set up" state when the underlying ontology graph instance for the workroom is not yet running. This page describes what those states mean and how to recover from them. (576 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/1-0-1/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (197 words) - [Community Edition Installation on Linux and macOS | Kamiwaza Docs](/content/docs/0-5-0/installation/linux_macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on Linux and macOS using the pre-built tarball bundles. (834 words) - [Two-Node Deployment (Remote GPU) | Kamiwaza Docs](/content/docs/1-0-0/installation/two-node-deployment/index.html): Kamiwaza supports a two-node topology where the control plane and model serving span two hosts using tensor parallelism. This enables larger models and higher throughput by pooling GPU resources across nodes. (1,099 words) - [Community Edition Installation on macOS | Kamiwaza Docs](/content/docs/0-11-0/installation/macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on macOS using the pre-built tarball bundle. (225 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-7-1/installation/windows_installation_guide/index.html): System Requirements (849 words) - [Consent Gate and Classification Banners | Kamiwaza Docs](/content/docs/1-0-1/security/consent-and-classification/index.html): Kamiwaza can enforce a pre-login consent gate and display classification banners across the UI and any embedded apps. This is designed for security and compliance programs that require a user acknowledgment before access, plus persistent system-high markings. (401 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-7-0/security/rebac-deployment-guide/index.html): Use this guide to bring the Kamiwaza authentication and relationship-based access control (ReBAC) stack online for lab, pilot, or production deployments. It assumes you have installed the current Kamiwaza platform bundle (RPM or container images) and can restart services via the provided scripts. (1,658 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-11-0/security/rebac-deployment-guide/index.html): Use this guide to bring the Kamiwaza authentication and relationship-based access control (ReBAC) stack online for lab, pilot, or production deployments. It assumes you have installed the current Kamiwaza platform bundle (RPM or container images) and can restart services via the provided scripts. (1,067 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-7-0/installation/windows_installation_guide/index.html): System Requirements (825 words) - [Kamiwaza Docs](/content/docs/kamiwaza-docs/company/jobs/index.html) (34 words) - [About Us | Kamiwaza Docs](/content/docs/0-13-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Community Edition Installation on Linux and macOS | Kamiwaza Docs](/content/docs/0-5-1/installation/linux_macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on Linux and macOS using the pre-built tarball bundles. (777 words) - [Core Services | Kamiwaza Docs](/content/docs/0-13-0/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized services, each handling a specific aspect of platform behavior. Together they support model serving, governed data access, application deployment, workrooms, and security controls. (467 words) - [policies/privacy-policy/index.html](/content/policies/privacy-policy/index.html) (108 words) - [Kamiwaza Offline Installation Guide for Red Hat Enterprise Linux | Kamiwaza Docs](/content/docs/0-7-0/installation/redhat_offline_install/index.html): Overview (783 words) - [AWS S3 Workroom Storage | Kamiwaza Docs](/content/docs/1-0-0/workroom-storage-s3/index.html): Kamiwaza uses S3-compatible object storage for two platform workflows: (605 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-5-0/installation/system_requirements/index.html): Base System Requirements (667 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-5-0/installation/windows_installation_guide/index.html): System Requirements (856 words) - [CAC Overview | Kamiwaza Docs](/content/docs/1-0-0/federal/cac-overview/index.html): Prerequisites (416 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/0-7-0/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (721 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-7-1/security/rebac-deployment-guide/index.html): Use this guide to bring the Kamiwaza authentication and relationship-based access control (ReBAC) stack online for lab, pilot, or production deployments. It assumes you have installed the current Kamiwaza platform bundle (RPM or container images) and can restart services via the provided scripts. (1,682 words) - [Core Services | Kamiwaza Docs](/content/docs/1-0-1/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized services, each handling a specific aspect of platform behavior. Together they support model serving, governed data access, application deployment, workrooms, and security controls. (499 words) - [NVIDIA GPU Hosts with Secure Boot Enabled | Kamiwaza Docs](/content/docs/1-0-0/installation/nvidia-secure-boot/index.html): On a Linux host with UEFI Secure Boot enabled, the kernel refuses to load an unsigned NVIDIA driver module — nvidia-smi fails and the host appears to have no GPU. The historical workaround, disabling Secure Boot, fails the compliance baselines many regulated environments require. Kamiwaza supports keeping Secure Boot enabled by signing the NVIDIA kernel module with a per-host Machine Owner Key (MOK) that the firmware trusts, and automates everything except a single one-time console confirmation. (617 words) - [Model Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/models/index.html): Overview (388 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-8-1/installation/gpu_setup_guide/index.html): Overview (1,401 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-5-1/installation/windows_installation_guide/index.html): System Requirements (820 words) - [Core Services | Kamiwaza Docs](/content/docs/0-12-0/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized services, each handling a specific aspect of platform behavior. Together they support model serving, governed data access, application deployment, workrooms, and security controls. (499 words) - [Core Services | Kamiwaza Docs](/content/docs/0-6-0/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (467 words) - [Fractional GPU Serving | Kamiwaza Docs](/content/docs/1-0-1/models/placement-fractional-serving/index.html): Fractional GPU serving lets multiple models share one GPU, each with its own reserved memory budget. Instead of claiming a whole card, a deployment reserves the number of gigabytes it is estimated to need; the remaining capacity stays available for other models. This page explains when fractional serving applies, how the budgeting works, and how to read the error you get when a model does not fit. (1,013 words) - [Core Services | Kamiwaza Docs](/content/docs/0-7-0/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (463 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-9-0/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [Database Schema Lifecycle | Kamiwaza Docs](/content/docs/1-0-0/database-schema-lifecycle/index.html): Kamiwaza v1.0 adds a bounded database schema anchor for PostgreSQL-backed installs. This is a safety foundation for future migrations, not the full migration platform. (597 words) - [Federated Retrieval | Kamiwaza Docs](/content/docs/1-0-1/federation/retrieval/index.html): Federated retrieval lets you discover and query data on remote clusters without the data leaving its origin. The mesh proxy routes your requests transparently — the remote cluster's catalog and retrieval services process them as if they were local. (763 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-5-0/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/0-11-0/retrieval-service/index.html): The retrieval service exposes a job-based API for accessing dataset content. It supports inline responses for small datasets, server-sent events (SSE) for streaming, and gRPC for high-throughput consumers. (243 words) - [About Us | Kamiwaza Docs](/content/docs/0-11-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Core Services | Kamiwaza Docs](/content/docs/0-9-0/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (506 words) - [Core Services | Kamiwaza Docs](/content/docs/0-5-0/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (504 words) - [Federation Setup | Kamiwaza Docs](/content/docs/federation/setup/index.html): This guide walks through creating a federation between two Kamiwaza clusters and verifying cross-cluster operations. (704 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-9-3/security/rebac-deployment-guide/index.html): Use this guide to bring the Kamiwaza authentication and relationship-based access control (ReBAC) stack online for lab, pilot, or production deployments. It assumes you have installed the current Kamiwaza platform bundle (RPM or container images) and can restart services via the provided scripts. (724 words) - [About Us | Kamiwaza Docs](/content/docs/0-8-1/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (132 words) - [Data Connectors | Kamiwaza Docs](/content/docs/1-0-1/data-connectors/index.html): Data connectors in Kamiwaza allow administrators to configure external data source connectors. Once configured, users can connect their accounts to access data from these services, enabling integration with Microsoft 365, Google Workspace, and other cloud services. (913 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/serving/index.html): Overview (409 words) - [Model Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/models/index.html): Overview (388 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/serving/index.html): Overview (409 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/1-0-0/retrieval-service/index.html): The retrieval service exposes a job-based API for accessing dataset content. It supports inline responses for small datasets, server-sent events (SSE) for streaming, and gRPC for high-throughput consumers. (215 words) - [Data Connectors | Kamiwaza Docs](/content/docs/1-0-0/data-connectors/index.html): Data connectors in Kamiwaza allow administrators to configure external data source connectors. Once configured, users can connect their accounts to access data from these services, enabling integration with Microsoft 365, Google Workspace, and other cloud services. (1,386 words) - [About Us | Kamiwaza Docs](/content/docs/0-5-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Model Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/models/index.html): Overview (388 words) - [VectorDB Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/vectordb/index.html): Overview (328 words) - [About Us | Kamiwaza Docs](/content/docs/0-5-1/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Execution Gates (Federated Authz) | Kamiwaza Docs](/content/docs/federation/execution-gates/index.html): The federated job service on the receiving cluster consults a pluggable (814 words) - [Federation Overview | Kamiwaza Docs](/content/docs/1-0-1/federation/overview/index.html): Kamiwaza cluster federation enables cross-cluster operations between paired Kamiwaza clusters. A federated cluster can query remote data, list remote models, and execute compute jobs on its partner — all through a secured mesh proxy with HMAC-signed trust and ReBAC authorization. (570 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/ingestion/index.html): Overview (303 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/serving/index.html): Overview (384 words) - [Core Services | Kamiwaza Docs](/content/docs/0-8-1/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (510 words) - [Kamiwaza Docs](/content/docs/engineering/designs/attribute-gate/index.html) (34 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/cluster/index.html): Overview (366 words) - [MTS - Senior Software Engineer | Kamiwaza Docs](/content/docs/0-13-0/team/mts/index.html): Role Overview (547 words) - [VectorDB Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/vectordb/index.html): Overview (309 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/embedding/index.html): Overview (318 words) - [VectorDB Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/vectordb/index.html): Overview (307 words) - [Authentication Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/auth/index.html): Overview (396 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/catalog/index.html): Overview (327 words) - [Federated Retrieval | Kamiwaza Docs](/content/docs/federation/retrieval/index.html): Federated retrieval lets you discover and query data on remote clusters without the data leaving its origin. The mesh proxy routes your requests transparently — the remote cluster's catalog and retrieval services process them as if they were local. (660 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/0-8-1/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (721 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/catalog/index.html): Overview (327 words) - [Gate Packages | Kamiwaza Docs](/content/docs/federation/gate-packages/index.html): Gate packages let you install custom ExecutionGate and AttributeGate classes onto a paired cluster from a Python package index — without rebuilding the platform image. Shipped in kamiwaza-mesh-v1.0.0. (543 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/cluster/index.html): Overview (372 words) - [Workroom Runtime Contract | Kamiwaza Docs](/content/docs/1-0-0/workrooms/runtime-contract/index.html): Public contract for workroom-scoped runtimes, membership changes, and collaboration streams in Kamiwaza. (763 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/ingestion/index.html): Overview (300 words) - [Job Submission | Kamiwaza Docs](/content/docs/federation/job-submission/index.html): Submit and manage Ray jobs on local or remote clusters. Jobs run Python entrypoints on the cluster's Ray runtime and can return structured results via a log marker protocol. (324 words) - [Federation Overview | Kamiwaza Docs](/content/docs/federation/overview/index.html): Kamiwaza cluster federation enables cross-cluster operations between paired Kamiwaza clusters. A federated cluster can query remote data, list remote models, and execute compute jobs on its partner — all through a secured mesh proxy with HMAC-signed trust and ReBAC authorization. (548 words) - [Relationship-Based Access Control Overview | Kamiwaza Docs](/content/docs/0-8-0/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (749 words) - [Database Schema Lifecycle | Kamiwaza Docs](/content/docs/1-0-1/database-schema-lifecycle/index.html): Kamiwaza v1.0 adds a bounded database schema anchor for PostgreSQL-backed installs. This is a safety foundation for future migrations, not the full migration platform. (599 words) - [Authentication Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/auth/index.html): Overview (419 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/1-0-0/security/rebac-deployment-guide/index.html): Use this guide to enable relationship-based access control (ReBAC) in a customer deployment of Kamiwaza. It is written for the current Kubernetes-based platform and assumes configuration is managed through your deployment values, Kubernetes Secrets, and cluster release workflow. (760 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/retrieval/index.html): Overview (240 words) - [CAC Overview | Kamiwaza Docs](/content/docs/0-11-0/federal/cac-overview/index.html): Prerequisites (407 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/embedding/index.html): Overview (293 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/ingestion/index.html): Overview (297 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/0-9-0/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (750 words) - [Workroom Runtime Contract | Kamiwaza Docs](/content/docs/0-13-0/workrooms/runtime-contract/index.html): Public contract for workroom-scoped runtimes, membership changes, and collaboration streams in Kamiwaza. (798 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/0-9-3/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (761 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/lab/index.html): Overview (287 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/retrieval/index.html): Overview (240 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/0-13-0/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (706 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/0-11-0/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (759 words) - [Data Connectors | Kamiwaza Docs](/content/docs/0-11-0/data-connectors/index.html): Data connectors in Kamiwaza allow administrators to configure external data source connectors. Once configured, users can connect their accounts to access data from these services, enabling integration with Microsoft 365, Google Workspace, and other cloud services. (1,103 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/embedding/index.html): Overview (293 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/catalog/index.html): Overview (327 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/1-0-0/security/rebac-validation-checklist/index.html): Use this checklist after enabling authentication and ReBAC in a customer environment. It is designed for public, customer-facing deployments and avoids internal bootstrap helpers, seeded demo users, and local compose workflows. (603 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-12-0/security/rebac-deployment-guide/index.html): Use this guide to enable relationship-based access control (ReBAC) in a customer deployment of Kamiwaza. It is written for the current Kubernetes-based platform and assumes configuration is managed through your deployment values, Kubernetes Secrets, and cluster release workflow. (775 words) - [AWS Bedrock Model Integration | Kamiwaza Docs](/content/docs/1-0-1/models/bedrock/index.html): Overview (998 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/0-7-1/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (664 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/retrieval/index.html): Overview (240 words) - [CAC Overview | Kamiwaza Docs](/content/docs/0-8-1/federal/cac-overview/index.html): Prerequisites (405 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-8-0/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,076 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-7-0/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (532 words) - [AWS Bedrock Model Integration | Kamiwaza Docs](/content/docs/0-12-0/models/bedrock/index.html): Overview (729 words) - [Enterprise-Grade Generative AI on Energy-Efficient CPUs | Kamiwaza-Ampere Solution](/content/go/ampere/index.html): Deploy sophisticated AI workloads with 3-5x power savings using Kamiwaza's orchestration platform on Ampere processors. Intelligent document processing and multi-agent workflows on Ampere CPU-based infrastructure. (382 words) - [Data Connectors | Kamiwaza Docs](/content/docs/0-13-0/data-connectors/index.html): Data connectors in Kamiwaza allow administrators to configure external data source connectors. Once configured, users can connect their accounts to access data from these services, enabling integration with Microsoft 365, Google Workspace, and other cloud services. (1,109 words) - [AWS Transcribe Engine User Guide | Kamiwaza Docs](/content/docs/1-0-1/models/aws-transcribe/index.html): AWS Transcribe provides enterprise-grade, managed speech-to-text capabilities through Kamiwaza's unified transcription API. Audio is processed by AWS's cloud service, eliminating local compute requirements. (1,088 words) - [Model Placement Overview | Kamiwaza Docs](/content/docs/1-0-1/models/placement-overview/index.html): When you deploy a model, Kamiwaza decides where it runs: which node, which GPU (or memory pool), and how much memory to reserve for it. This is model placement. Placement is automatic — you deploy a model the same way on a datacenter cluster, a single-GPU workstation, or a MacBook, and Kamiwaza picks an appropriate home for it. (768 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-9-3/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (510 words) - [AWS Bedrock Model Integration | Kamiwaza Docs](/content/docs/1-0-0/models/bedrock/index.html): Overview (998 words) - [CAC Overview | Kamiwaza Docs](/content/docs/0-9-0/federal/cac-overview/index.html): Prerequisites (406 words) - [Graphiti Changelog | Kamiwaza Docs](/content/docs/extensions/graphiti/changelog/index.html): Version-specific release notes and migration highlights for Graphiti. 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(369 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/0-9-0/security/rebac-validation-checklist/index.html): After completing the ReBAC Deployment Guide, run this validation checklist to confirm tuple enforcement, audit logging, and session controls match the current Kamiwaza artifacts. The flow mirrors what we run internally before shipping daily builds. (616 words) - [Data Catalog and Secrets | Kamiwaza Docs](/content/docs/0-11-0/data-catalog/index.html): Kamiwaza provides a centralized catalog for datasets, containers, and secrets. The catalog stores metadata, supports DataHub URNs, and is protected by access controls so only authorized users can view or change assets. (324 words) - [CAC Overview | Kamiwaza Docs](/content/docs/0-9-3/federal/cac-overview/index.html): Prerequisites (403 words) - [OpenAI-Compatible Chat Endpoint Integration | Kamiwaza Docs](/content/docs/1-0-1/models/openai-compatible-chat/index.html): Overview (894 words) - [AWS Transcribe Engine User Guide | Kamiwaza Docs](/content/docs/0-13-0/models/aws-transcribe/index.html): AWS Transcribe provides enterprise-grade, managed speech-to-text capabilities through Kamiwaza's unified transcription API. Audio is processed by AWS's cloud service, eliminating local compute requirements. (1,070 words) - [Join the AI Revolution from Anywhere | Kamiwaza Docs](/content/docs/0-6-0/team/jobs/index.html): We’re Kamiwaza (meaning “divine skill” or “godlike technique”) and we’re building the backbone of the AI revolution. We have a small but mighty team that’s already delighting customers and exciting our investors. We’re gearing up to scale — fast. (543 words) - [Data Catalog and Secrets | Kamiwaza Docs](/content/docs/0-13-0/data-catalog/index.html): Kamiwaza provides a centralized catalog for datasets, containers, and secrets. The catalog stores metadata, supports DataHub URNs, and is protected by access controls so only authorized users can view or change assets. (351 words) - [Model Placement Overview | Kamiwaza Docs](/content/docs/1-0-0/models/placement-overview/index.html): When you deploy a model, Kamiwaza decides where it runs: which node, which GPU (or memory pool), and how much memory to reserve for it. This is model placement. Placement is automatic — you deploy a model the same way on a datacenter cluster, a single-GPU workstation, or a MacBook, and Kamiwaza picks an appropriate home for it. (773 words) - [AWS Transcribe Engine User Guide | Kamiwaza Docs](/content/docs/1-0-0/models/aws-transcribe/index.html): AWS Transcribe provides enterprise-grade, managed speech-to-text capabilities through Kamiwaza's unified transcription API. Audio is processed by AWS's cloud service, eliminating local compute requirements. (1,066 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/0-9-3/security/rebac-validation-checklist/index.html): After completing the ReBAC Deployment Guide, run this validation checklist to confirm tuple enforcement, audit logging, and session controls match the current Kamiwaza artifacts. The flow mirrors what we run internally before shipping daily builds. (619 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/0-12-0/security/rebac-validation-checklist/index.html): Use this checklist after enabling authentication and ReBAC in a customer environment. It is designed for public, customer-facing deployments and avoids internal bootstrap helpers, seeded demo users, and local compose workflows. (589 words) - [Placement Deployment Guide | Kamiwaza Docs](/content/docs/1-0-1/models/placement-deployment-guide/index.html): Placement is automatic — deploying a model with placement is the same deploy flow you already use. This guide shows how to deploy multiple models onto shared GPUs, read where each deployment landed, and troubleshoot placement problems. (741 words) - [MTS - Senior Software Engineer | Kamiwaza Docs](/content/docs/0-9-3/team/mts/index.html): Role Overview (527 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/1-0-0/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,610 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/0-5-1/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (516 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/0-12-0/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (553 words) - [AWS Bedrock Model Integration | Kamiwaza Docs](/content/docs/0-13-0/models/bedrock/index.html): Overview (983 words) - [Data Catalog and Secrets | Kamiwaza Docs](/content/docs/1-0-1/data-catalog/index.html): Kamiwaza provides a centralized catalog for datasets, containers, and secrets. 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(787 words) - [Consent Gate and Classification Banners | Kamiwaza Docs](/content/docs/0-11-0/security/consent-and-classification/index.html): Kamiwaza can enforce a pre-login consent gate and display classification banners across the UI and any embedded apps. This is designed for security and compliance programs that require a user acknowledgment before access, plus persistent system-high markings. (356 words) - [Routing Modes and URLs | Kamiwaza Docs](/content/docs/1-0-1/routing-modes/index.html): Current Kamiwaza deployments use HTTPS ingress with path-based runtime URLs as the standard public access pattern. (689 words) - [API Reference | Kamiwaza Docs](/content/docs/1-0-0/federation/api-reference/index.html): Complete reference for the mesh proxy and federation endpoints. All endpoints require authentication via Keycloak JWT or PAT. (770 words) - [Model Deployment | Kamiwaza Docs](/content/docs/0-9-3/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (610 words) - [API Reference | Kamiwaza Docs](/content/docs/1-0-1/federation/api-reference/index.html): Complete reference for the mesh proxy and federation endpoints. All endpoints require authentication via Keycloak JWT or PAT. (755 words) - [About Us | Kamiwaza Docs](/content/docs/1-0-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [About Us | Kamiwaza Docs](/content/docs/1-0-1/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Model Deployment | Kamiwaza Docs](/content/docs/0-6-0/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (612 words) - [Administrator Guide | Kamiwaza Docs](/content/docs/0-9-0/security/admin-guide/index.html): 1. Authentication & Access Control (3,029 words) - [Model Deployment | Kamiwaza Docs](/content/docs/0-5-1/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (610 words) - [Routing Modes and URLs | Kamiwaza Docs](/content/docs/0-13-0/routing-modes/index.html): Current Kamiwaza deployments use HTTPS ingress with path-based runtime URLs as the standard public access pattern. (694 words) - [Model Deployment | Kamiwaza Docs](/content/docs/0-12-0/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (630 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/0-13-0/security/rebac-validation-checklist/index.html): Use this checklist after enabling authentication and ReBAC in a customer environment. It is designed for public, customer-facing deployments and avoids internal bootstrap helpers, seeded demo users, and local compose workflows. (575 words) - [OpenAI-Compatible Transcription Endpoint Integration | Kamiwaza Docs](/content/docs/0-13-0/models/openai-compatible-transcribe/index.html): Overview (631 words) - [Routing Modes and URLs | Kamiwaza Docs](/content/docs/0-12-0/routing-modes/index.html): Current Kamiwaza deployments use HTTPS ingress with path-based runtime URLs as the standard public access pattern. 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We believe that AI should be: (111 words) - [Windows GPU Setup Guide | Kamiwaza Docs](/content/docs/0-9-3/installation/gpu_setup_guide/index.html): Overview (833 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/0-11-0/security/rebac-validation-checklist/index.html): After completing the ReBAC Deployment Guide, run this validation checklist to confirm tuple enforcement, audit logging, and session controls match the current Kamiwaza artifacts. The flow mirrors what we run internally before shipping daily builds. (652 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/0-8-1/security/rebac-validation-checklist/index.html): After completing the ReBAC Deployment Guide, run this validation checklist to confirm tuple enforcement, audit logging, and session controls match the current Kamiwaza artifacts. The flow mirrors what we run internally before shipping daily builds. 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(613 words) - [AWS S3 Workroom Storage | Kamiwaza Docs](/content/docs/0-13-0/workroom-storage-s3/index.html): Kamiwaza uses S3-compatible object storage for two platform workflows: (891 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/0-7-1/security/rebac-validation-checklist/index.html): After completing the ReBAC Deployment Guide, run this validation checklist to confirm tuple enforcement, audit logging, and session controls match the current Kamiwaza artifacts. The flow mirrors what we run internally before shipping daily builds. (620 words) - [Kamiwaza Offline Installation Guide for Red Hat Enterprise Linux | Kamiwaza Docs](/content/docs/0-9-3/installation/redhat_offline_install/index.html): Overview (774 words) - [Two-Node Deployment (Remote GPU) | Kamiwaza Docs](/content/docs/0-13-0/installation/two-node-deployment/index.html): Kamiwaza supports a two-node topology where the control plane and model serving span two hosts using tensor parallelism. This enables larger models and higher throughput by pooling GPU resources across nodes. (854 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/0-9-3/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (518 words) - [Kamiwaza Offline Installation Guide for Red Hat Enterprise Linux | Kamiwaza Docs](/content/docs/0-8-1/installation/redhat_offline_install/index.html): Overview (773 words) - [About Us | Kamiwaza Docs](/content/docs/0-6-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (132 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/0-7-1/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (512 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-5-1/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,006 words) - [Administrator Guide | Kamiwaza Docs](/content/docs/0-6-0/admin-guide/index.html): 1. 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(650 words) - [Context Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/context/index.html): Overview (1,680 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/1-0-0/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (534 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/0-13-0/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (501 words) - [Community Edition Installation on Linux and macOS | Kamiwaza Docs](/content/docs/0-8-1/installation/linux_macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on Linux and macOS using the pre-built tarball bundles. (748 words) - [Model Deployment | Kamiwaza Docs](/content/docs/0-13-0/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (653 words) - [CAC Overview | Kamiwaza Docs](/content/docs/0-13-0/federal/cac-overview/index.html): Prerequisites (420 words) - [Model Deployment | Kamiwaza Docs](/content/docs/1-0-0/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. 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(381 words) - [Model Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/models/index.html): Overview (388 words) - [Downloading Models | Kamiwaza Docs](/content/docs/0-5-1/models/downloading-models/index.html): Model Search and Discovery (199 words) - [Downloading Models | Kamiwaza Docs](/content/docs/0-13-0/models/downloading-models/index.html): Model Search and Discovery (287 words) - [Downloading Models | Kamiwaza Docs](/content/docs/0-7-1/models/downloading-models/index.html): Model Search and Discovery (199 words) - [Downloading Models | Kamiwaza Docs](/content/docs/0-12-0/models/downloading-models/index.html): Model Search and Discovery (287 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-7-1/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. 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(250 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-13-0/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [About Us | Kamiwaza Docs](/content/docs/0-8-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Downloading Models | Kamiwaza Docs](/content/docs/1-0-0/models/downloading-models/index.html): Model Search and Discovery (287 words) - [Community Edition Installation on macOS | Kamiwaza Docs](/content/docs/0-9-3/installation/macos_tarball/index.html): This guide covers installing Kamiwaza Community Edition on macOS using the pre-built tarball bundle. (225 words) - [EULA License](/content/eula-license/index.html) (5,714 words) - [About Us | Kamiwaza Docs](/content/docs/0-7-1/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/1-0-1/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (316 words) - [Models Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/models/index.html): Overview (409 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/0-12-0/retrieval-service/index.html): The retrieval service exposes a job-based API for accessing dataset content. 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(467 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/cluster/index.html): Overview (366 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/cluster/index.html): Overview (391 words) - [Authentication Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/auth/index.html): Overview (396 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/serving/index.html): Overview (384 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/catalog/index.html): Overview (327 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/serving/index.html): Overview (409 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/lab/index.html): Overview (262 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/retrieval/index.html): Overview (240 words) - [Inference Unleashed: Power and ease of use combined in TensorWave’s MI300X servers](/content/insights/inference-unleashed-power-and-ease-of-use-combined-in-tensorwaves-mi300x-servers.html): Experience seamless AI inference with TensorWave's MI300X servers, featuring 192GB memory per card (2.4x NVIDIA's H100) enabling full 70B parameter models on single accelerators. This technical walkthrough demonstrates zero-configuration setup, exceptional performance with TGI and vLLM, flexible deployment options for balancing throughput and latency, and showcases Kamiwaza AI's enterprise-ready agent platform running on this powerful infrastructure—all without the typical GPU setup headaches. (2,364 words) - [VectorDB Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/vectordb/index.html): Overview (307 words) - [Model Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/models/index.html): Overview (388 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/ingestion/index.html): Overview (302 words) - [About Us | Kamiwaza Docs](/content/docs/0-12-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/lab/index.html): Overview (262 words) - [Two-Node Deployment (Remote GPU) | Kamiwaza Docs](/content/docs/0-11-0/installation/two-node-deployment/index.html): Kamiwaza supports a two-node topology where the control plane runs on one host and model serving containers run on a paired GPU host. This is useful for DGX Spark-style deployments and other environments where the GPU node is separate from the management node. (236 words) - [Kaizen User Guide | Kamiwaza Docs](/content/docs/extensions/kaizen/kaizen-user-guide/index.html): Complete guide for creating and managing AI agents with Kaizen. (2,861 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/ingestion/index.html): Overview (300 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/catalog/index.html): Overview (327 words) - [Authentication Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/auth/index.html): Overview (396 words) - [Authentication Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/auth/index.html): Overview (396 words) - [About Us | Kamiwaza Docs](/content/docs/0-9-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (132 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-8-1/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,355 words) - [Ontology Graph Viewer Runbook | Kamiwaza Docs](/content/docs/runbooks/ontology-graph-viewer/index.html): The Graph tab in a workroom shows a knowledge graph built from the workroom's sources. The Graph tab renders an empty or "being set up" state when the underlying ontology graph instance for the workroom is not yet running. This page describes what those states mean and how to recover from them. (553 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/0-7-0/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (514 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/embedding/index.html): Overview (293 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-8-1/services/embedding/index.html): Overview (293 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-11-0/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [Tools Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/tools/index.html): DEPRECATED: The Tool Shed service (client.tools) is deprecated and will be removed in a future release. The Docker Compose-based Tool Shed is being replaced by Kubernetes CRD-based extensions. Use the Extensions API (client.extensions) instead. (753 words) - [Model Deployment | Kamiwaza Docs](/content/docs/0-7-0/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (610 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/lab/index.html): Overview (287 words) - [KAMI: Kamiwaza Agentic Merit Index (preview)](/content/docs/papers/kami_leaderboard-html.html) (18,052 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/cluster/index.html): Overview (389 words) - [Administrator Guide | Kamiwaza Docs](/content/docs/0-8-0/security/admin-guide/index.html): 1. Authentication & Access Control (2,015 words) - [Configuration Reference | Kamiwaza Docs](/content/docs/0-13-0/configuration/index.html): Current Kamiwaza deployments are Kubernetes-based. In customer environments, configuration should be managed through your Helm values and cluster release workflow, not through ad hoc edits to source-managed env.sh files. (683 words) - [Activity Service | Kamiwaza Docs](/content/docs/sdk/0-9-0/services/activity/index.html): Overview (235 words) - [Configuration Reference | Kamiwaza Docs](/content/docs/0-11-0/configuration/index.html): Kamiwaza uses environment variables for configuration. The installer automatically sets sensible defaults based on your installation type, so most users don't need to configure anything manually. (512 words) - [Configuration Reference | Kamiwaza Docs](/content/docs/0-12-0/configuration/index.html): Current Kamiwaza deployments are Kubernetes-based. In customer environments, configuration should be managed through your Helm values and cluster release workflow, not through ad hoc edits to source-managed env.sh files. (693 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-9-3/services/retrieval/index.html): Overview (240 words) - [Tools Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/tools/index.html): DEPRECATED: The Tool Shed service (client.tools) is deprecated and will be removed in a future release. The Docker Compose-based Tool Shed is being replaced by Kubernetes CRD-based extensions. Use the Extensions API (client.extensions) instead. (748 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-7-1/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide a comprehensive AI orchestration solution. This page describes the most important of these building blocks. (581 words) - [Routing Modes and URLs | Kamiwaza Docs](/content/docs/routing-modes/index.html): Current Kamiwaza deployments use HTTPS ingress with path-based runtime URLs as the standard public access pattern. (671 words) - [Administrator Guide | Kamiwaza Docs](/content/docs/0-7-0/admin-guide/index.html): 1. Authentication & Access Control (2,478 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-6-0/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide a comprehensive AI orchestration solution. This page describes the most important of these building blocks. (562 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/lab/index.html): Overview (262 words) - [Core Services | Kamiwaza Docs](/content/docs/0-11-0/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (463 words) - [Configuration Reference | Kamiwaza Docs](/content/docs/1-0-1/configuration/index.html): Current Kamiwaza deployments are Kubernetes-based. In customer environments, configuration should be managed through your Helm values and cluster release workflow, not through ad hoc edits to source-managed env.sh files. (748 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-5-1/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/1-0-1/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide model serving, governed data access, and managed application runtimes. This page describes the most important of those building blocks in the current platform. (537 words) - [Activity Service | Kamiwaza Docs](/content/docs/sdk/0-5-1/services/activity/index.html): Overview (235 words) - [Kamiwaza Docs](/content/docs/federation/identity-trust-modes/index.html) (34 words) - [Core Services | Kamiwaza Docs](/content/docs/0-8-0/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (463 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-7-0/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide a comprehensive AI orchestration solution. This page describes the most important of these building blocks. (546 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-8-1/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide a comprehensive AI orchestration solution. This page describes the most important of these building blocks. (549 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-13-0/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide model serving, governed data access, and managed application runtimes. This page describes the most important of those building blocks in the current platform. (500 words) - [AWS Bedrock Model Integration | Kamiwaza Docs](/content/docs/0-7-0/models/bedrock/index.html): Overview (352 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-5-0/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide a comprehensive AI orchestration solution. This page describes the most important of these building blocks. (560 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-7-0/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-11-0/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide a comprehensive AI orchestration solution. This page describes the most important of these building blocks. (582 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/embedding/index.html): Overview (600 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-9-0/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide a comprehensive AI orchestration solution. This page describes the most important of these building blocks. (548 words) - [Core Services | Kamiwaza Docs](/content/docs/0-7-1/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (504 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/0-9-3/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,389 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/0-12-0/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide model serving, governed data access, and managed application runtimes. This page describes the most important of those building blocks in the current platform. (474 words) - [Database Schema Lifecycle | Kamiwaza Docs](/content/docs/database-schema-lifecycle/index.html): Kamiwaza v1.0 adds a bounded database schema anchor for PostgreSQL-backed installs. This is a safety foundation for future migrations, not the full migration platform. (582 words) - [Downloading Models | Kamiwaza Docs](/content/docs/0-7-0/models/downloading-models/index.html): Model Search and Discovery (220 words) - [About Us | Kamiwaza Docs](/content/docs/0-7-0/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/serving/index.html): Overview (444 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/1-0-0/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide model serving, governed data access, and managed application runtimes. This page describes the most important of those building blocks in the current platform. (532 words) - [Skills Library User Guide | Kamiwaza Docs](/content/docs/extensions/skills-library/skills-library-guide/index.html): The Skills Library lets Kamiwaza administrators manage a shared catalog of reusable agent skills. From this app you can import skill packages, curate their metadata, control their lifecycle, and export bundles for sharing. (419 words) - [Activity Service | Kamiwaza Docs](/content/docs/sdk/0-7-0/services/activity/index.html): Overview (235 words) - [Apps Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/apps/index.html): DEPRECATED: The App Garden service (client.apps) is deprecated and will be removed in a future release. The Docker Compose-based App Garden is being replaced by Kubernetes CRD-based extensions. Use the Extensions API (client.extensions) instead. (614 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-7-1/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (319 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-8-1/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (304 words) - [Activity Service | Kamiwaza Docs](/content/docs/sdk/0-6-0/services/activity/index.html): Overview (235 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-9-3/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (301 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/1-0-0/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (302 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-13-0/installation/system_requirements/index.html): Hardware Requirements (843 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-6-0/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (302 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/embedding/index.html): Overview (600 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-11-0/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (300 words) - [Extensions Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/extensions/index.html): The Extensions Service (client.extensions) manages K8s-native extensions deployed as KamiwazaExtension Custom Resources. It replaces the legacy App Garden (client.apps) and Tool Shed (client.tools) services for Kubernetes deployments. (447 words) - [Extensions Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/extensions/index.html): The Extensions Service (client.extensions) manages K8s-native extensions deployed as KamiwazaExtension Custom Resources. It replaces the legacy App Garden (client.apps) and Tool Shed (client.tools) services for Kubernetes deployments. (447 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-5-1/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (300 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/1-0-1/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (300 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-5-0/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (300 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/catalog/index.html): Overview (353 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-13-0/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (300 words) - [Tools Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/tools/index.html): DEPRECATED: The Tool Shed service (client.tools) is deprecated and will be removed in a future release. The Docker Compose-based Tool Shed is being replaced by Kubernetes CRD-based extensions. Use the Extensions API (client.extensions) instead. (759 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/0-12-0/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (279 words) - [Activity Service | Kamiwaza Docs](/content/docs/sdk/0-7-1/services/activity/index.html): Overview (247 words) - [AWS S3 Workroom Storage | Kamiwaza Docs](/content/docs/1-0-1/workroom-storage-s3/index.html): Kamiwaza uses S3-compatible object storage for two platform workflows: (2,034 words) - [System Requirements | Kamiwaza Docs](/content/docs/installation/system_requirements/index.html): Hardware Requirements (2,179 words) - [Using Kamiwaza Authentication and Model Inferencing with Any AI Application | Kamiwaza Docs](/content/docs/blog/2025/01/03/adding-kamiwaza-auth-and-models-to-your-app/index.html): How to integrate Kamiwaza's authentication and model inferencing into any AI application. (886 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/cluster/index.html): Overview (389 words) - [Extensions Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/extensions/index.html): The Extensions Service (client.extensions) manages K8s-native extensions deployed as KamiwazaExtension Custom Resources. It replaces the legacy App Garden (client.apps) and Tool Shed (client.tools) services for Kubernetes deployments. (439 words) - [Tools Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/tools/index.html): DEPRECATED: The Tool Shed service (client.tools) is deprecated and will be removed in a future release. The Docker Compose-based Tool Shed is being replaced by Kubernetes CRD-based extensions. Use the Extensions API (client.extensions) instead. (746 words) - [Skills Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/skills/index.html): The Skills Service (client.skills) wraps the Skills Library endpoints exposed by the Kamiwaza backend. It supports browsing shared skills, importing new draft skills from zip packages, publishing via metadata updates, downloading published packages, and exporting one or more packages for operator workflows. (401 words) - [docs/assets/files/riker2025-144fa5a2dc2b3054f955b1607ef49642-pdf.html](/content/docs/assets/files/riker2025-144fa5a2dc2b3054f955b1607ef49642-pdf.html) (11,141 words) - [Apps Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/apps/index.html): DEPRECATED: The App Garden service (client.apps) is deprecated and will be removed in a future release. The Docker Compose-based App Garden is being replaced by Kubernetes CRD-based extensions. Use the Extensions API (client.extensions) instead. (612 words) - [Enclaves Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/enclaves/index.html): Client helpers live in kamiwaza_sdk/services/enclaves.py and wrap the (115 words) - [Vectordb Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/vectordb/index.html): Overview (307 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/embedding/index.html): Overview (600 words) - [docs/assets/files/picard_paper-cd1acbac0eba77d75a348502a09e5bc7-pdf.html](/content/docs/assets/files/picard_paper-cd1acbac0eba77d75a348502a09e5bc7-pdf.html) (9,164 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/0-8-0/security/rebac-validation-checklist/index.html): After completing the ReBAC Deployment Guide, run this validation checklist to confirm tuple enforcement, audit logging, and session controls match the current Kamiwaza artifacts. The flow mirrors what we run internally before shipping daily builds. (660 words) - [Auth Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/auth/index.html): The authentication helpers live in kamiwaza_sdk/services/auth.py. They wrap the (449 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/1-0-0/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (716 words) - [AWS Transcribe Engine User Guide | Kamiwaza Docs](/content/docs/0-12-0/models/aws-transcribe/index.html): AWS Transcribe provides enterprise-grade, managed speech-to-text capabilities through Kamiwaza's unified transcription API. Audio is processed by AWS's cloud service, eliminating local compute requirements. (771 words) - [Federations Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/federations/index.html): Overview (410 words) - [Vectordb Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/vectordb/index.html): Overview (307 words) - [Activity Service | Kamiwaza Docs](/content/docs/sdk/0-8-0/services/activity/index.html): Overview (235 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/ingestion/index.html): Client helpers live in kamiwaza_sdk/services/ingestion.py and wrap the (108 words) - [Other Topics | Kamiwaza Docs](/content/docs/0-8-0/other-topics/index.html): Content to be added. (25 words) - [Skills Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/skills/index.html): The Skills Service (client.skills) wraps the Skills Library endpoints exposed by the Kamiwaza backend. It supports browsing shared skills, importing new draft skills from zip packages, publishing via metadata updates, downloading published packages, and exporting one or more packages for operator workflows. (303 words) - [docs/assets/files/kami_v0_1-6e4aecf4e5d27dd967f81eeb8c953621-pdf.html](/content/docs/assets/files/kami_v0_1-6e4aecf4e5d27dd967f81eeb8c953621-pdf.html) (12,121 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/0-13-0/security/rebac-deployment-guide/index.html): Use this guide to enable relationship-based access control (ReBAC) in a customer deployment of Kamiwaza. It is written for the current Kubernetes-based platform and assumes configuration is managed through your deployment values, Kubernetes Secrets, and cluster release workflow. (775 words) - [Core Services | Kamiwaza Docs](/content/docs/0-9-3/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized microservices, each handling a specific aspect of the AI platform's functionality. These services work together to provide a comprehensive AI orchestration platform that manages the entire lifecycle of AI models and applications. (508 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/lab/index.html): Overview (262 words) - [Workroom Manager User Guide | Kamiwaza Docs](/content/docs/extensions/workroom-manager/workroom-manager-user-guide/index.html): Create, share, and manage analyst workrooms in the Kamiwaza platform. (1,616 words) - [Models Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/models/index.html): Overview (409 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/0-12-0/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (686 words) - [Auth Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/auth/index.html): The authentication helpers live in kamiwaza_sdk/services/auth.py. They wrap the (455 words) - [Models Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/models/index.html): Overview (388 words) - [Other Topics | Kamiwaza Docs](/content/docs/0-9-0/other-topics/index.html): Content to be added. (25 words) - [Openai Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/openai/index.html): Overview (283 words) - [Other Topics | Kamiwaza Docs](/content/docs/0-8-1/other-topics/index.html): Content to be added. (27 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/retrieval/index.html): The kamiwaza_sdk.services.retrieval.RetrievalService module drives the (100 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/catalog/index.html): Overview (353 words) - [Enclaves Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/enclaves/index.html): Client helpers live in kamiwaza_sdk/services/enclaves.py and wrap the (102 words) - [Other Topics | Kamiwaza Docs](/content/docs/0-12-0/other-topics/index.html): Content to be added. (25 words) - [Models Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/models/index.html): Overview (413 words) - [Other Topics | Kamiwaza Docs](/content/docs/1-0-1/other-topics/index.html): Content to be added. (25 words) - [Model Deployment | Kamiwaza Docs](/content/docs/0-8-0/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (612 words) - [Other Topics | Kamiwaza Docs](/content/docs/0-13-0/other-topics/index.html): Content to be added. (25 words) - [Other Topics | Kamiwaza Docs](/content/docs/1-0-0/other-topics/index.html): Content to be added. (25 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/cluster/index.html): Overview (391 words) - [Data Connectors | Kamiwaza Docs](/content/docs/data-connectors/index.html): Data connectors in Kamiwaza allow administrators to configure external data source connectors. Once configured, users can connect their accounts to access data from these services, enabling integration with Microsoft 365, Google Workspace, and other cloud services. (1,542 words) - [Openai Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/openai/index.html): Overview (290 words) - [Vectordb Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/vectordb/index.html): Overview (307 words) - [Authz Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/authz/index.html): Client helpers for the relationship-based access control surface exposed under (110 words) - [Authz Service | Kamiwaza Docs](/content/docs/sdk/1-0-0/current/services/authz/index.html): Client helpers for the relationship-based access control surface exposed under (106 words) - [Data Connectors | Kamiwaza Docs](/content/docs/0-12-0/data-connectors/index.html): Data connectors in Kamiwaza allow administrators to configure external data source connectors. Once configured, users can connect their accounts to access data from these services, enabling integration with Microsoft 365, Google Workspace, and other cloud services. (951 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/catalog/index.html): Overview (378 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/lab/index.html): Overview (262 words) - [OpenAI-Compatible Transcription Endpoint Integration | Kamiwaza Docs](/content/docs/models/openai-compatible-transcribe/index.html): Overview (631 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/retrieval/index.html): The kamiwaza_sdk.services.retrieval.RetrievalService module drives the (108 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/cluster/index.html): Overview (391 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/1-0-1/current/services/ingestion/index.html): Client helpers live in kamiwaza_sdk/services/ingestion.py and wrap the (123 words) - [Skills Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/skills/index.html): The Skills Service (client.skills) wraps the Skills Library endpoints exposed by the Kamiwaza backend. It supports browsing shared skills, importing new draft skills from zip packages, publishing via metadata updates, downloading published packages, and exporting one or more packages for operator workflows. (407 words) - [Data Catalog and Secrets | Kamiwaza Docs](/content/docs/1-0-0/data-catalog/index.html): Kamiwaza provides a centralized catalog for datasets, containers, and secrets. The catalog stores metadata, supports DataHub URNs, and is protected by access controls so only authorized users can view or change assets. (366 words) - [Auth Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/auth/index.html): The authentication helpers live in kamiwaza_sdk/services/auth.py. They wrap the (453 words) - [Administrator Guide | Kamiwaza Docs](/content/docs/1-0-0/security/admin-guide/index.html): Use this guide to understand the security-related responsibilities of a Kamiwaza administrator in a customer deployment. It focuses on the current Kubernetes-based platform and avoids internal helper scripts, source-repo workflows, and host-local bootstrap procedures. (1,455 words) - [Embedding Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/embedding/index.html): Overview (623 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/0-8-0/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (516 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/lab/index.html): Overview (285 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/retrieval/index.html): The kamiwaza_sdk.services.retrieval.RetrievalService module drives the (112 words) - [Openai Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/openai/index.html): Overview (308 words) - [Administrator Guide | Kamiwaza Docs](/content/docs/0-13-0/security/admin-guide/index.html): Use this guide to understand the security-related responsibilities of a Kamiwaza administrator in a customer deployment. It focuses on the current Kubernetes-based platform and avoids internal helper scripts, source-repo workflows, and host-local bootstrap procedures. (1,455 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/ingestion/index.html): Client helpers live in kamiwaza_sdk/services/ingestion.py and wrap the (123 words) - [AWS S3 Workroom Storage | Kamiwaza Docs](/content/docs/workroom-storage-s3/index.html): Kamiwaza uses S3-compatible object storage for two platform workflows: (888 words) - [Authz Service | Kamiwaza Docs](/content/docs/sdk/0-12-0/current/services/authz/index.html): Client helpers for the relationship-based access control surface exposed under (125 words) - [Join the AI Revolution from Anywhere | Member of Technical Staff (GenAI Platform Engineer) | Kamiwaza Docs](/content/docs/0-3-2/company/mts/index.html): We're Kamiwaza ("divine skill" or "godlike technique" - for what we want our customers to experience), and we're building the backbone of the AI revolution. We have a great small team that needs to scale, delighted customers and enthusiastic investors. (644 words) - [Intel on AI podcast: Exploring enterprise AI innovation with Kamiwaza CEO Luke Norris](/content/insights/intel-on-ai-podcast-exploring-enterprise-ai-innovation-with-kamiwaza-ceo-luke-norris.html): Join Kamiwaza CEO Luke Norris as he chats with Heather McGuigan of Intel to explore the power that AI brings to enterprise data orchestration — even at scale. (389 words) - [Vectordb Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/vectordb/index.html): Overview (309 words) - [AWS Bedrock Model Integration | Kamiwaza Docs](/content/docs/0-8-0/models/bedrock/index.html): Overview (373 words) - [Extensions Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/extensions/index.html): The Extensions Service (client.extensions) manages K8s-native extensions deployed as KamiwazaExtension Custom Resources. It replaces the legacy App Garden (client.apps) and Tool Shed (client.tools) services for Kubernetes deployments. (439 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-8-0/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [Cluster Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/cluster/index.html): Overview (366 words) - [AWS S3 Workroom Storage | Kamiwaza Docs](/content/docs/0-12-0/workroom-storage-s3/index.html): Kamiwaza uses S3-compatible object storage for two platform workflows: (781 words) - [Placement Deployment Guide | Kamiwaza Docs](/content/docs/models/placement-deployment-guide/index.html): Placement is automatic — deploying a model with placement is the same deploy flow you already use. This guide shows how to deploy multiple models onto shared GPUs, read where each deployment landed, and troubleshoot placement problems. (982 words) - [Tool Shed | Kamiwaza Docs](/content/docs/0-12-0/tool-garden/index.html): Tool Shed lets you deploy and manage tool servers from supported container images or curated templates. It is designed for tool-enabled applications and agent workflows that need dedicated, platform-managed endpoints. (282 words) - [Building a RAG Pipeline | Kamiwaza Docs](/content/docs/use-cases/building-a-rag-pipeline/index.html): Retrieval-Augmented Generation (RAG) combines the power of large language models with your own documents and data to provide accurate, contextual responses. This guide walks you through building a complete RAG pipeline using Kamiwaza's core services. (1,210 words) - [Serving Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/serving/index.html): Overview (384 words) - [Openai Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/openai/index.html): Overview (306 words) - [2025Q4 Finance Solution Brief](/content/hubfs/solution-20briefs/2025q4-20finance-20solution-20brief-pdf.html) (306 words) - [Tool Shed | Kamiwaza Docs](/content/docs/0-13-0/tool-garden/index.html): Tool Shed lets you deploy and manage tool servers from supported container images or curated templates. It is designed for tool-enabled applications and agent workflows that need dedicated, platform-managed endpoints. (284 words) - [AWS Bedrock Model Integration | Kamiwaza Docs](/content/docs/0-11-0/models/bedrock/index.html): Overview (729 words) - [Downloading Models | Kamiwaza Docs](/content/docs/0-8-0/models/downloading-models/index.html): Model Search and Discovery (199 words) - [Tool Shed | Kamiwaza Docs](/content/docs/1-0-0/tool-garden/index.html): Tool Shed lets you deploy and manage tool servers from supported container images or curated templates. It is designed for tool-enabled applications and agent workflows that need dedicated, platform-managed endpoints. (284 words) - [Tool Shed | Kamiwaza Docs](/content/docs/1-0-1/tool-garden/index.html): Tool Shed lets you deploy and manage tool servers from supported container images or curated templates. It is designed for tool-enabled applications and agent workflows that need dedicated, platform-managed endpoints. (289 words) - [Auth Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/auth/index.html): The authentication helpers live in kamiwaza_sdk/services/auth.py. They wrap the (455 words) - [Quickstart | Kamiwaza Docs](/content/docs/0-6-0/quickstart/index.html): Get up and running with Kamiwaza in just a few minutes! This guide will walk you through starting the platform, deploying your first AI model, and launching a real application from the App Garden. (622 words) - [Catalog Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/catalog/index.html): Overview (353 words) - [Lab Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/lab/index.html): Overview (262 words) - [Windows Installation Guide | Kamiwaza Docs](/content/docs/0-13-0/installation/windows_installation_guide/index.html): System Requirements (947 words) - [API Reference | Kamiwaza Docs](/content/docs/federation/api-reference/index.html): Complete reference for the mesh proxy and federation endpoints. All endpoints require authentication via Keycloak JWT or PAT. (811 words) - [Workroom Runtime Contract | Kamiwaza Docs](/content/docs/workrooms/runtime-contract/index.html): Public contract for workroom-scoped runtimes, membership changes, and collaboration streams in Kamiwaza. (779 words) - [Distributed Data Engine | Kamiwaza Docs](/content/docs/1-0-1/data-engine/index.html): Kamiwaza’s Distributed Data Engine (DDE) aligns unstructured and tabular content under a unified ingestion framework. Connector-driven pipelines push cleaned documents into the platform’s vector stores while keeping credentials and scheduling consistent with the rest of the control plane. Subsequent point releases continue to build on the same structure, so the guidance below applies to the current GA build unless otherwise noted. (1,067 words) - [ReBAC Validation Checklist | Kamiwaza Docs](/content/docs/security/rebac-validation-checklist/index.html): Use this checklist after enabling authentication and ReBAC in a customer environment. It is designed for public, customer-facing deployments and avoids internal bootstrap helpers, seeded demo users, and local compose workflows. (585 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/retrieval/index.html): The kamiwaza_sdk.services.retrieval.RetrievalService module drives the (105 words) - [Deploying enterprise AI on energy-efficient CPUs: Our Computex 2025 showcase with Ampere](/content/insights/deploying-enterprise-ai-on-energy-efficient-cpus-our-computex-2025-showcase-with-ampere.html): Kamiwaza and Ampere showcased multi-agent AI on energy-efficient CPUs — no GPUs needed, less power used, and real results for enterprise workloads. (747 words) - [community/index.html](/content/community/index.html) (108 words) - [insights/why-data-lakes-keep-ai-in-lab/index.html](/content/insights/why-data-lakes-keep-ai-in-lab/index.html) (159 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-5-1/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (516 words) - [ReBAC Deployment Guide | Kamiwaza Docs](/content/docs/security/rebac-deployment-guide/index.html): Use this guide to enable relationship-based access control (ReBAC) in a customer deployment of Kamiwaza. It is written for the current Kubernetes-based platform and assumes configuration is managed through your deployment values, Kubernetes Secrets, and cluster release workflow. (763 words) - [Distributed Data Engine | Kamiwaza Docs](/content/docs/1-0-0/data-engine/index.html): Kamiwaza’s Distributed Data Engine (DDE) aligns unstructured and tabular content under a unified ingestion framework. Connector-driven pipelines push cleaned documents into the platform’s vector stores while keeping credentials and scheduling consistent with the rest of the control plane. Subsequent point releases continue to build on the same structure, so the guidance below applies to the current GA build unless otherwise noted. (1,065 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (725 words) - [Help & Fixes | Kamiwaza Docs](/content/docs/0-6-0/help-and-fixes/index.html): This page provides resources for getting help with Kamiwaza and solutions to common issues you might encounter. (452 words) - [Relationship-Based Access Control (ReBAC) | Kamiwaza Docs](/content/docs/1-0-1/security/rebac-overview/index.html): Kamiwaza uses relationship-based access control (ReBAC) to enforce tenant-scoped and role-aware policies across the platform. This page summarizes the capabilities delivered with the current release, how to integrate an identity provider, and the operational practices required to keep the system healthy. (743 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/0-11-0/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (534 words) - [Observability Guide | Kamiwaza Docs](/content/docs/1-0-1/observability/index.html): Kamiwaza provides several ways to inspect deployment health, runtime errors, and security-relevant activity. In current customer deployments, the primary observability paths are the UI log viewer, Kubernetes-native logs, and optional OpenTelemetry forwarding into your existing monitoring platform. (789 words) - [AWS Transcribe Engine User Guide | Kamiwaza Docs](/content/docs/models/aws-transcribe/index.html): AWS Transcribe provides enterprise-grade, managed speech-to-text capabilities through Kamiwaza's unified transcription API. Audio is processed by AWS's cloud service, eliminating local compute requirements. (781 words) - [Administrator Guide | Kamiwaza Docs](/content/docs/0-12-0/security/admin-guide/index.html): Use this guide to understand the security-related responsibilities of a Kamiwaza administrator in a customer deployment. It focuses on the current Kubernetes-based platform and avoids internal helper scripts, source-repo workflows, and host-local bootstrap procedures. (812 words) - [Ingestion Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/ingestion/index.html): Client helpers live in kamiwaza_sdk/services/ingestion.py and wrap the (123 words) - [OpenAI-Compatible Chat Endpoint Integration | Kamiwaza Docs](/content/docs/models/openai-compatible-chat/index.html): Overview (956 words) - [CAC Overview | Kamiwaza Docs](/content/docs/federal/cac-overview/index.html): Prerequisites (395 words) - [Offline Installation | Kamiwaza Docs](/content/docs/installation/offline_install/index.html): The offline installer is for air-gapped or restricted RHEL 9 environments with no outbound internet access on the target host. You download the Kamiwaza bundle on a connected machine, transfer it to the target host, and install without pulling anything from the internet during installation. (1,201 words) - [Data Catalog and Secrets | Kamiwaza Docs](/content/docs/data-catalog/index.html): Kamiwaza provides a centralized catalog for datasets, containers, and secrets. The catalog stores metadata, supports DataHub URNs, and is protected by access controls so only authorized users can view or change assets. (345 words) - [Authz Service | Kamiwaza Docs](/content/docs/sdk/0-13-0/current/services/authz/index.html): Client helpers for the relationship-based access control surface exposed under (131 words) - [Two-Node Deployment (Remote GPU) | Kamiwaza Docs](/content/docs/installation/two-node-deployment/index.html): Kamiwaza supports a two-node topology where the control plane and model serving span two hosts using tensor parallelism. This enables larger models and higher throughput by pooling GPU resources across nodes. (1,077 words) - [Solution Brief - Legal](/content/hubfs/solution-20briefs/solution-20brief-20-20legal-pdf.html) (353 words) - [AWS Bedrock Model Integration | Kamiwaza Docs](/content/docs/models/bedrock/index.html): Overview (983 words) - [Distributed Data Engine | Kamiwaza Docs](/content/docs/0-11-0/data-engine/index.html): Kamiwaza’s Distributed Data Engine (DDE) aligns unstructured and tabular content under a unified ingestion framework. Connector-driven pipelines push cleaned documents into the platform’s vector stores while keeping credentials and scheduling consistent with the rest of the control plane. Subsequent point releases continue to build on the same structure, so the guidance below applies to the current GA build unless otherwise noted. (572 words) - [Distributed Data Engine | Kamiwaza Docs](/content/docs/0-13-0/data-engine/index.html): Kamiwaza’s Distributed Data Engine (DDE) aligns unstructured and tabular content under a unified ingestion framework. Connector-driven pipelines push cleaned documents into the platform’s vector stores while keeping credentials and scheduling consistent with the rest of the control plane. Subsequent point releases continue to build on the same structure, so the guidance below applies to the current GA build unless otherwise noted. (796 words) - [GPU Hardware Classes | Kamiwaza Docs](/content/docs/models/placement-hardware-classes/index.html): Kamiwaza model placement specializes its behavior by hardware class — a classification of how a GPU's memory is built and how it can be shared. The class determines which placement primitive Kamiwaza uses, how many models can share a device, and what isolation you can expect between them. (903 words) - [Consent Gate and Classification Banners | Kamiwaza Docs](/content/docs/security/consent-and-classification/index.html): Kamiwaza can enforce a pre-login consent gate and display classification banners across the UI and any embedded apps. This is designed for security and compliance programs that require a user acknowledgment before access, plus persistent system-high markings. (381 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-12-0/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (520 words) - [About Us | Kamiwaza Docs](/content/docs/0-9-3/team/kamiwaza/index.html): Founded by veterans of the AI industry, Kamiwaza AI is dedicated to democratizing artificial intelligence by making powerful AI capabilities accessible to organizations of all sizes. We believe that AI should be: (129 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/1-0-0/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (319 words) - [Distributed Data Engine | Kamiwaza Docs](/content/docs/0-12-0/data-engine/index.html): Kamiwaza’s Distributed Data Engine (DDE) aligns unstructured and tabular content under a unified ingestion framework. Connector-driven pipelines push cleaned documents into the platform’s vector stores while keeping credentials and scheduling consistent with the rest of the control plane. Subsequent point releases continue to build on the same structure, so the guidance below applies to the current GA build unless otherwise noted. (563 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-9-3/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (317 words) - [GUI Walkthrough | Kamiwaza Docs](/content/docs/models/gui-walkthrough/index.html): The following walkthrough is based on the Kamiwaza 1.0.0 user interface. We'll walk through navigating the Kamiwaza admin console to search for a model, download model files, and then deploy and use an inference endpoint. (493 words) - [Uninstalling Kamiwaza | Kamiwaza Docs](/content/docs/1-0-0/installation/uninstall/index.html): This page describes how to remove Kamiwaza 1.0.0 from a host. (438 words) - [Uninstalling Kamiwaza | Kamiwaza Docs](/content/docs/1-0-1/installation/uninstall/index.html): This page describes how to remove Kamiwaza 1.0.1 from a host. (406 words) - [Fractional GPU Serving | Kamiwaza Docs](/content/docs/models/placement-fractional-serving/index.html): Fractional GPU serving lets multiple models share one GPU, each with its own reserved memory budget. Instead of claiming a whole card, a deployment reserves the number of gigabytes it is estimated to need; the remaining capacity stays available for other models. This page explains when fractional serving applies, how the budgeting works, and how to read the error you get when a model does not fit. (992 words) - [Downloading Models | Kamiwaza Docs](/content/docs/1-0-1/models/downloading-models/index.html): Model Search and Discovery (308 words) - [Model Placement Overview | Kamiwaza Docs](/content/docs/models/placement-overview/index.html): When you deploy a model, Kamiwaza decides where it runs: which node, which GPU (or memory pool), and how much memory to reserve for it. This is model placement. Placement is automatic — you deploy a model the same way on a datacenter cluster, a single-GPU workstation, or a MacBook, and Kamiwaza picks an appropriate home for it. (747 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/0-7-1/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (334 words) - [NVIDIA GPU Hosts with Secure Boot Enabled | Kamiwaza Docs](/content/docs/1-0-1/installation/nvidia-secure-boot/index.html): On a Linux host with UEFI Secure Boot enabled, the kernel refuses to load an unsigned NVIDIA driver module — nvidia-smi fails and the host appears to have no GPU. The historical workaround, disabling Secure Boot, fails the compliance baselines many regulated environments require. Kamiwaza supports keeping Secure Boot enabled by signing the NVIDIA kernel module with a per-host Machine Owner Key (MOK) that the firmware trusts, and automates everything except a single one-time console confirmation. (597 words) - [OmniParse Service Guide | Kamiwaza Docs](/content/docs/extensions/omniparse/omniparse-service-guide/index.html): Public deployment and configuration guidance for OmniParse in Kamiwaza. (277 words) - [Observability Guide | Kamiwaza Docs](/content/docs/0-9-0/observability/index.html): Kamiwaza provides a comprehensive observability stack designed to give administrators visibility into the system's health, performance, and security. This guide covers how to access logs, monitor system health, and integrate Kamiwaza with your existing enterprise observability platforms. (827 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-13-0/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (866 words) - [Model Deployment | Kamiwaza Docs](/content/docs/models/deployment/index.html): The model deployment process in Kamiwaza is designed to be simple and robust. (660 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-5-0/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (516 words) - [Release Notes | Kamiwaza Docs](/content/docs/0-6-0/release-notes/index.html) (21 words) - [Quickstart | Kamiwaza Docs](/content/docs/0-8-1/quickstart/index.html): Get up and running with Kamiwaza in just a few minutes! This guide will walk you through starting the platform, deploying your first AI model, and launching a real application from the App Garden. (656 words) - [Other Topics | Kamiwaza Docs](/content/docs/0-6-0/other-topics/index.html): Content to be added. (25 words) - [Quickstart | Kamiwaza Docs](/content/docs/0-12-0/quickstart/index.html): Use this guide after installing Kamiwaza. It is intended for single-user deployments and administrators who are preparing for a broader rollout. (1,044 words) - [App Garden | Kamiwaza Docs](/content/docs/0-12-0/app-garden/index.html): App Garden lets you browse, deploy, and manage curated applications from the Kamiwaza UI. Applications are launched through the platform's managed deployment flow and exposed through the same authenticated routing model used elsewhere in Kamiwaza. (727 words) - [Routing Modes and URLs | Kamiwaza Docs](/content/docs/1-0-0/routing-modes/index.html): Current Kamiwaza deployments use HTTPS ingress with path-based runtime URLs as the standard public access pattern. (695 words) - [App Garden | Kamiwaza Docs](/content/docs/0-13-0/app-garden/index.html): App Garden lets you browse, deploy, and manage curated applications from the Kamiwaza UI. Applications are launched through the platform's managed deployment flow and exposed through the same authenticated routing model used elsewhere in Kamiwaza. (729 words) - [Models Overview | Kamiwaza Docs](/content/docs/1-0-0/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (830 words) - [Models Overview | Kamiwaza Docs](/content/docs/1-0-1/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (865 words) - [App Garden | Kamiwaza Docs](/content/docs/1-0-0/app-garden/index.html): App Garden lets you browse, deploy, and manage curated applications from the Kamiwaza UI. Applications are launched through the platform's managed deployment flow and exposed through the same authenticated routing model used elsewhere in Kamiwaza. (727 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-6-0/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (516 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-9-0/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (519 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-9-3/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (520 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-8-1/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (516 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-7-1/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (517 words) - [Deploying Models in Novice Mode | Kamiwaza Docs](/content/docs/models/novice-mode/index.html): Novice mode is Kamiwaza's default deployment mode designed to simplify the model deployment experience for new users and common use cases. (279 words) - [App Garden | Kamiwaza Docs](/content/docs/1-0-1/app-garden/index.html): App Garden lets you browse, deploy, and manage curated applications from the Kamiwaza UI. Applications are launched through the platform's managed deployment flow and exposed through the same authenticated routing model used elsewhere in Kamiwaza. (729 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-13-0/architecture/overview/index.html): Kamiwaza is a Kubernetes-based AI platform that combines model serving, governed data access, application deployment, and security controls behind a single customer-facing domain. This page provides a high-level view of the current architecture used in supported deployments. (464 words) - [System Requirements | Kamiwaza Docs](/content/docs/0-5-1/installation/system_requirements/index.html): Base System Requirements (574 words) - [Online Installation | Kamiwaza Docs](/content/docs/installation/online_install/index.html): The online installer is the recommended way to install Kamiwaza 1.0.1 on an internet-connected host. It is a single self-contained script that bundles the deploy payload, playbooks, and Helm chart dependencies. Host tools are installed from your OS package manager, and the Kamiwaza platform images are pulled from Keygen. (832 words) - [Distributed Data Engine | Kamiwaza Docs](/content/docs/0-6-0/data-engine/index.html): Sharpening our katana... stay tuned! ⚔️ (27 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-7-0/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (499 words) - [Models Overview | Kamiwaza Docs](/content/docs/0-11-0/models/overview/index.html): Kamiwaza provides a comprehensive system for managing the entire lifecycle of your AI models, from discovery and download to deployment and serving. This guide walks you through the key concepts and processes for working with models on the Kamiwaza platform. (519 words) - [Downloading Models | Kamiwaza Docs](/content/docs/models/downloading-models/index.html): Model Search and Discovery (287 words) - [Quickstart | Kamiwaza Docs](/content/docs/0-13-0/quickstart/index.html): Use this guide after installing Kamiwaza. It is intended for single-user deployments and administrators who are preparing for a broader rollout. (873 words) - [Help & Fixes | Kamiwaza Docs](/content/docs/0-7-1/help-and-fixes/index.html): This page provides resources for getting help with Kamiwaza and solutions to common issues you might encounter. (452 words) - [Quickstart | Kamiwaza Docs](/content/docs/1-0-0/quickstart/index.html): Use this guide after installing Kamiwaza. It is intended for single-user deployments and administrators who are preparing for a broader rollout. (944 words) - [Retrieval Service | Kamiwaza Docs](/content/docs/retrieval-service/index.html): The retrieval service exposes a job-based API for accessing dataset content. It supports inline responses for small datasets, server-sent events (SSE) for streaming, and gRPC for high-throughput consumers. (225 words) - [Installing Kamiwaza | Kamiwaza Docs](/content/docs/0-8-1/installation/installation_process/index.html): Before You Begin (388 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-12-0/architecture/overview/index.html): Kamiwaza is a Kubernetes-based AI platform that combines model serving, governed data access, application deployment, and security controls behind a single customer-facing domain. This page provides a high-level view of the current architecture used in supported deployments. (440 words) - [App Garden | Kamiwaza Docs](/content/docs/0-6-0/app-garden/index.html): App Garden lets you browse, deploy, and manage containerized applications from a curated catalog—all from the Kamiwaza UI. Apps are packaged with Docker Compose and deploy in a few clicks with sensible defaults. (407 words) - [Model Deployment Troubleshooting | Kamiwaza Docs](/content/docs/models/troubleshooting/index.html): This guide helps you diagnose and resolve common issues encountered during model deployment on Kamiwaza. (316 words) - [Help & Fixes | Kamiwaza Docs](/content/docs/0-8-1/help-and-fixes/index.html): This page provides resources for getting help with Kamiwaza and solutions to common issues you might encounter. (454 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-6-0/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (350 words) - [Use Cases | Kamiwaza Docs](/content/docs/0-8-1/use-cases/index.html): Kamiwaza enables a wide variety of AI applications and workflows. This section provides practical guidance for implementing common use cases, complete with step-by-step instructions, best practices, and example code. (398 words) - [Installing Kamiwaza | Kamiwaza Docs](/content/docs/0-13-0/installation/installation_process/index.html): Before You Begin (503 words) - [Installing Kamiwaza | Kamiwaza Docs](/content/docs/0-9-3/installation/installation_process/index.html): Before You Begin (474 words) - [Observability Guide | Kamiwaza Docs](/content/docs/0-12-0/observability/index.html): Kamiwaza provides several ways to inspect deployment health, runtime errors, and security-relevant activity. In current customer deployments, the primary observability paths are the UI log viewer, Kubernetes-native logs, and optional OpenTelemetry forwarding into your existing monitoring platform. (799 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-7-1/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (372 words) - [Core Components & Concepts | Kamiwaza Docs](/content/docs/architecture/components/index.html): The Kamiwaza platform is composed of several key components and conceptual systems that work together to provide model serving, governed data access, and managed application runtimes. This page describes the most important of those building blocks in the current platform. (514 words) - [Help & Fixes | Kamiwaza Docs](/content/docs/0-12-0/help-and-fixes/index.html): This page provides resources for getting help with Kamiwaza and solutions to common issues you might encounter. (664 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/1-0-0/architecture/overview/index.html): Kamiwaza is a Kubernetes-based AI platform that combines model serving, governed data access, application deployment, and security controls behind a single customer-facing domain. This page provides a high-level view of the current architecture used in supported deployments. (441 words) - [Help & Fixes | Kamiwaza Docs](/content/docs/0-9-0/help-and-fixes/index.html): This page provides resources for getting help with Kamiwaza and solutions to common issues you might encounter. (452 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-5-1/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (341 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-5-0/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (341 words) - [Quickstart | Kamiwaza Docs](/content/docs/0-7-0/quickstart/index.html): Get up and running with Kamiwaza in just a few minutes! This guide will walk you through starting the platform, deploying your first AI model, and launching a real application from the App Garden. (646 words) - [Core Services | Kamiwaza Docs](/content/docs/architecture/core-services/index.html): Kamiwaza's backend is built as a collection of specialized services, each handling a specific aspect of platform behavior. Together they support model serving, governed data access, application deployment, workrooms, and security controls. (481 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-8-0/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (391 words) - [Administrator Guide | Kamiwaza Docs](/content/docs/1-0-1/security/admin-guide/index.html): Use this guide to understand the security-related responsibilities of a Kamiwaza administrator in a customer deployment. It focuses on the current Kubernetes-based platform and avoids internal helper scripts, source-repo workflows, and host-local bootstrap procedures. (1,448 words) - [Quickstart | Kamiwaza Docs](/content/docs/1-0-1/quickstart/index.html): Use this guide after installing Kamiwaza. It is intended for single-user deployments and administrators who are preparing for a broader rollout. (945 words) - [Installing Kamiwaza | Kamiwaza Docs](/content/docs/0-11-0/installation/installation_process/index.html): Before You Begin (486 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-8-1/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (338 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-11-0/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (339 words) - [Quickstart | Kamiwaza Docs](/content/docs/0-9-0/quickstart/index.html): Get up and running with Kamiwaza in just a few minutes! This guide will walk you through starting the platform, deploying your first AI model, and launching a real application from the App Garden. (627 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-9-0/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (238 words) - [Use Cases | Kamiwaza Docs](/content/docs/0-9-0/use-cases/index.html): Kamiwaza enables a wide variety of AI applications and workflows. This section provides practical guidance for implementing common use cases, complete with step-by-step instructions, best practices, and example code. (382 words) - [Use Cases | Kamiwaza Docs](/content/docs/0-6-0/use-cases/index.html): Kamiwaza enables a wide variety of AI applications and workflows. This section provides practical guidance for implementing common use cases, complete with step-by-step instructions, best practices, and example code. (380 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/1-0-1/architecture/overview/index.html): Kamiwaza is a Kubernetes-based AI platform that combines model serving, governed data access, application deployment, and security controls behind a single customer-facing domain. This page provides a high-level view of the current architecture used in supported deployments. (421 words) - [Platform Architecture Overview | Kamiwaza Docs](/content/docs/0-7-0/architecture/overview/index.html): Kamiwaza is a modular, multi-layered platform designed for scalability, flexibility, and enterprise-grade performance. This document provides a high-level overview of its key architectural components and the technologies that power them. (357 words) - [Installing Kamiwaza | Kamiwaza Docs](/content/docs/0-12-0/installation/installation_process/index.html): Before You Begin (529 words) - [Use Cases | Kamiwaza Docs](/content/docs/0-12-0/use-cases/index.html): Kamiwaza enables a wide variety of AI applications and workflows. This section provides practical guidance for implementing common use cases, complete with step-by-step instructions, best practices, and example code. (379 words) - [Agentic Computing is Here, Just Not Evenly Distributed | Kamiwaza Docs](/content/docs/blog/2025/01/13/agentic-computing-is-here-just-not-evenly-distributed.html): The future of computing is more personal and much more powerful. We are at an interesting stage presently where the capabilities of LLMs and the end-user experience are dramatically disconnected; a huge amount of engineering is yet to be done. (2,127 words) - [AI Platform Architectural Considerations | Kamiwaza Docs](/content/docs/0-3-2/architecture/considerations/index.html): Data Management (569 words) - [Help & Fixes | Kamiwaza Docs](/content/docs/1-0-1/help-and-fixes/index.html): This page provides resources for getting help with Kamiwaza and solutions to common issues you might encounter. (676 words) - [Help & Fixes | Kamiwaza Docs](/content/docs/0-13-0/help-and-fixes/index.html): This page provides resources for getting help with Kamiwaza and solutions to common issues you might encounter. (676 words) - [Observability Guide | Kamiwaza Docs](/content/docs/0-13-0/observability/index.html): Kamiwaza provides several ways to inspect deployment health, runtime errors, and security-relevant activity. In current customer deployments, the primary observability paths are the UI log viewer, Kubernetes-native logs, and optional OpenTelemetry forwarding into your existing monitoring platform. (768 words) - [NVIDIA GPU Hosts with Secure Boot Enabled | Kamiwaza Docs](/content/docs/installation/nvidia-secure-boot/index.html): On a Linux host with UEFI Secure Boot enabled, the kernel refuses to load an unsigned NVIDIA driver module — nvidia-smi fails and the host appears to have no GPU. The historical workaround, disabling Secure Boot, fails the compliance baselines many regulated environments require. Kamiwaza supports keeping Secure Boot enabled by signing the NVIDIA kernel module with a per-host Machine Owner Key (MOK) that the firmware trusts, and automates everything except a single one-time console confirmation. (596 words) - [Installing Kamiwaza | Kamiwaza Docs](/content/docs/0-8-0/installation/installation_process/index.html): Before You Begin (434 words) - [Harnessing the Power of Large Language Models | Kamiwaza Docs](/content/docs/blog/2024/04/15/a-primer-on-genai-hardware/index.html): A primer on the hardware requirements for deploying and leveraging Large Language Models (LLMs). (2,226 words) - [App Garden | Kamiwaza Docs](/content/docs/0-8-1/app-garden/index.html): App Garden lets you browse, deploy, and manage containerized applications from a curated catalog—all from the Kamiwaza UI. Apps are packaged with Docker Compose and deploy in a few clicks with sensible defaults. 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(258 words) - [Rethinking IT Operations for Agentic AI (InfoWorld) | Kamiwaza](/content/newsroom/rethinking-operations-in-an-agentic-ai-world/index.html): Kamiwaza's James Urquhart argues in InfoWorld that agentic AI breaks traditional IT operations, and proposes separating capacity from consumption. (239 words) - [AI for State Local & Education: Secure Public Sector Solutions](/content/sled/index.html): Empower state and local governments and educational institutions with secure AI while maintaining data privacy. (676 words) - [Agentic AI Trust Issues Explained (CIO.com) | Kamiwaza](/content/newsroom/agentic-ai-has-big-trust-issues/index.html): CIO.com explores why concerns over agent transparency and decision-making may hold back agentic AI, even as adoption accelerates. (244 words) - [CPG](/content/cpg/index.html): We deploy AI agents to your edge, on-prem, and cloud systems to enhance operations, optimize supply chains, and drive value at scale. (672 words) - [Technology](/content/technology/index.html): We enable you to securely build, deploy, and manage AI across any environment (yours or your customers’) without moving sensitive data. (662 words) - [Get Started with Kamiwaza AI Orchestration | Request Demo](/content/get-started/index.html): Have questions about our Gen AI orchestration engine? Request a demo to see how Kamiwaza delivers measurable AI results in weeks with outcome-based support. (58 words) - [Page not found](/content/1-09https/www-gartner-com/en/newsroom/press-releases/2025-02-26-lack-of-ai-ready-data-puts-ai-projects-at-risk.html) (28 words) - [Consulting and Systems Integrators](/content/consulting-and-systems-integrators/index.html): We allow you to deliver repeatable, high-margin AI solutions to the complex enterprise clients your competitors can’t reach. (510 words) - [AI Security and Compliance](/content/security-and-compliance/index.html): Kamiwaza offers an AI orchestration platform with a security-first design. Learn how to improve AI security and compliance with Kamiwaza at scale. (983 words) - [Customer Success Stories | Kamiwaza AI Orchestration](/content/case-studies/index.html): See how Fortune 500 companies and government agencies transform operations with Kamiwaza AI orchestration. (117 words) - [2025Q4 Finance Solution Brief](/content/hubfs/2025q4-20finance-20solution-20brief-pdf.html) (352 words) - [AI Document Processing: Extract Intelligence from Any Document](/content/document-processing/index.html): Process contracts invoices and reports across distributed repositories with AI that understands meaning not just text. (1,066 words) - [Page not found](/content/1-09https/www-deloitte-com/us/en/insights/topics/technology-management/tech-trends/2026/ai-infrastructure-compute-strategy-html.html) (28 words) - [AI-Powered Compliance Automation for Enterprise](/content/compliance-automation/index.html): Automate compliance monitoring and reporting with AI. Maintain continuous compliance across distributed data. (1,370 words) - [Finance](/content/finance/index.html): Kamiwaza’s AI agents securely automate these complex financial workflows with 99% accuracy from behind your firewall. (1,384 words) - [Enterprise Conversational AI Agents | Beyond Chatbots](/content/conversational-ai-agents/index.html): Deploy conversational AI agents with real enterprise knowledge that access data across security domains. (1,018 words) - [AI Orchestration for Financial Services | Secure Compliant Solutions](/content/financial-services/index.html): Deploy AI for fraud detection and risk analysis while maintaining SOC 2 PCI DSS and data sovereignty compliance. (751 words) - [Healthcare AI Orchestration | HIPAA-Compliant Solutions](/content/healthcare/index.html): HIPAA-compliant AI orchestration for clinical decision support and patient data analysis without moving PHI. (648 words) - [From pilot to production. A guide for enterprise deployment](/content/from-pilot-to-production/index.html): AI pilots fail in production. Learn the platform, team, and workflow design to bridge the gap and pick your first production deployment. (1,629 words) - [Enterprise Software Development ](/content/enterprise-software-development/index.html): Our platform enables your existing team to build powerful, secure, distributed AI applications without needing specialized AI talent. (933 words) - [Hybrid cloud AI architecture: running AI across cloud and on-premise](/content/hybrid-cloud-ai-architecture/index.html): Discover how hybrid cloud AI boosts performance, breaks cloud lock-in, and enables intelligent orchestration for competitive advantage. (915 words) - [Media](/content/media/index.html): (493 words) - [Workrooms: Secure AI Collaboration](/content/workrooms/index.html): Kamiwaza Workrooms provides secure, multi‑tenant workspaces where teams and AI agents collaborate on sensitive data without moving it. Governed by relationship‑based authorization and auditability, Workrooms keeps your data in its place while accelerating team innovation. (836 words) - [Distributed Data Engine: Federated Data Access](/content/distributed-data-engine/index.html): Kamiwaza’s Distributed Data Engine enables federated data access that lets you use data from disparate sources without moving it. Securely query and process data regardless of format or location. (882 words) - [Edge AI orchestration: running AI where your data lives](/content/edge-ai-orchestration/index.html): Discover how Kamiwaza orchestrates Edge AI across IoT, on-prem, disconnected, and sovereign sites where data cannot move to the cloud. (956 words) - [AI Automates Section 508 Compliance (Techstrong) | Kamiwaza](/content/newsroom/hpe-ai-platform-automates-section-508-compliance-for-americans.html): Techstrong.ai reports on an HPE, Kamiwaza, and SHI platform that uses AI agents to help federal agencies automate Section 508 accessibility compliance. (245 words) ## Listings & Categories - [Insights | Finance](/content/insights/tag/finance/index.html): Finance | Company updates and the latest in AI — straight from the source. (61 words) - [Insights | Scaling Enterprise AI](/content/insights/tag/scaling-enterprise-ai/index.html): Scaling Enterprise AI | Company updates and the latest in AI — straight from the source. 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(82 words) - [Insights | Workrooms](/content/insights/tag/workrooms/index.html): Workrooms | Company updates and the latest in AI — straight from the source. (25 words) - [Insights | Luke Norris](/content/insights/author/luke-norris/index.html): Company updates and the latest in AI — straight from the source. (152 words) - [Insights | AI Audit Trail](/content/insights/tag/ai-audit-trail/index.html): AI Audit Trail | Company updates and the latest in AI — straight from the source. (115 words) - [Insights | ontology](/content/insights/tag/ontology/index.html): ontology | Company updates and the latest in AI — straight from the source. (129 words) - [Insights | Agentic AI](/content/insights/tag/agentic-ai/index.html): Agentic AI | Company updates and the latest in AI — straight from the source. 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(4) (83 words) - [Insights | James Urquhart](/content/insights/author/james-urquhart/index.html): Company updates and the latest in AI — straight from the source. (300 words) - [Insights | Featured](/content/insights/tag/featured/index.html): Featured | Company updates and the latest in AI — straight from the source. (211 words) - [Insights | AI Orchestration](/content/insights/tag/ai-orchestration/index.html): AI Orchestration | Company updates and the latest in AI — straight from the source. (300 words) - [Insights | AI Agents (2)](/content/insights/tag/ai-agents/page/2/index.html): AI Agents | Company updates and the latest in AI — straight from the source. (2) (200 words) - [Insights | AI Hallucination](/content/insights/tag/ai-hallucination/index.html): AI Hallucination | Company updates and the latest in AI — straight from the source. (54 words) - [ From the Newsroom | Updates and Stories from Kamiwaza.ai | Press Release](/content/newsroom/tag/press-release/index.html): Press Release | Company updates and the latest in AI — straight from the source. (204 words) - [Insights | ai data governance](/content/insights/tag/ai-data-governance/index.html): ai data governance | Company updates and the latest in AI — straight from the source. (58 words) - [ From the Newsroom | Updates and Stories from Kamiwaza.ai | Kamiwaza (2)](/content/newsroom/author/kamiwaza/page/2/index.html): Company updates and the latest in AI — straight from the source. (2) (314 words) - [Insights | AI Context](/content/insights/tag/ai-context/index.html): AI Context | Company updates and the latest in AI — straight from the source. 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(220 words) - [Insights | Kamiwaza](/content/insights/author/kamiwaza/index.html): Company updates and the latest in AI — straight from the source. (264 words) - [ | Solution Brief](/content/resource/tag/solution-brief/index.html): Solution Brief | (255 words) - [Insights | AI Strategy](/content/insights/tag/ai-strategy/index.html): AI Strategy | Company updates and the latest in AI — straight from the source. (170 words) - [ | Whitepaper](/content/resource/tag/whitepaper/index.html): Whitepaper | (164 words) - [Insights | AI Agents](/content/insights/tag/ai-agents/index.html): AI Agents | Company updates and the latest in AI — straight from the source. (289 words) - [Insights | Cross-Functional AI Governance](/content/insights/tag/cross-functional-ai-governance/index.html): Cross-Functional AI Governance | Company updates and the latest in AI — straight from the source. (33 words) - [Insights | AI Agent Access Control](/content/insights/tag/ai-agent-access-control/index.html): AI Agent Access Control | Company updates and the latest in AI — straight from the source. (34 words) - [Insights | Entitlement-Aware AI Workspace](/content/insights/tag/entitlement-aware-ai-workspace/index.html): Entitlement-Aware AI Workspace | Company updates and the latest in AI — straight from the source. (35 words) - [Insights | Relationship-Based Access Control](/content/insights/tag/relationship-based-access-control/index.html): Relationship-Based Access Control | Company updates and the latest in AI — straight from the source. (33 words) - [ From the Newsroom | Updates and Stories from Kamiwaza.ai | Media Coverage (2)](/content/newsroom/tag/media-coverage/page/2/index.html): Media Coverage | Company updates and the latest in AI — straight from the source. (2) (315 words) - [ From the Newsroom | Updates and Stories from Kamiwaza.ai | Media Coverage](/content/newsroom/tag/media-coverage/index.html): Media Coverage | Company updates and the latest in AI — straight from the source. (335 words) - [ From the Newsroom | Updates and Stories from Kamiwaza.ai | Kamiwaza](/content/newsroom/author/kamiwaza/index.html): Company updates and the latest in AI — straight from the source. (279 words) ## About Pages - [About Kamiwaza: Pioneering Distributed AI Orchestration](/content/about/index.html): At Kamiwaza, we believe your AI should work for you, not the other way around. Kamiwaza pioneers distributed AI orchestration for the 5th industrial revolution. (268 words) - [Contact Kamiwaza | Your Enterprise AI Transformation](/content/contact/index.html): Have questions about our Gen AI orchestration engine? Let’s talk. Reach out or book a demo to see how Kamiwaza can keep you flowing forward. 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