Distributed Data Engine | Kamiwaza Docs

This is documentation for Kamiwaza 0.9.3, which is no longer actively maintained. For the current GA release, see 1.0.1.

Version: 0.9.3

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.

Platform assumptions

Connector workflow

  1. Create a connector – Choose the source system (S3, SharePoint, file upload, etc.) and supply the required fields. Connector forms mirror the parameters described in the internal knowledge base; public documentation lists only the high-level values.
  2. Secure credentials – Provide either inline credentials or reference an existing Kamiwaza secret. Secrets are encrypted at rest and can be rotated without recreating the connector.
  3. Schedule ingestion – Select one-time or recurring runs. DDE batches updates to minimize load on the source system.
  4. Monitor jobs – Each run emits status events and logging metadata that flow into the standard observability dashboards.

Supported sources

Source Notes
Amazon S3 Uses access key/secret with read permission on the target bucket/prefix.
Azure Blob Storage Supports SAS tokens or client secrets.
SharePoint Requires an Azure AD application with delegated permissions.
HTTPS Fetch Pulls static content or sitemap-driven collections.
File Upload One-time ingestion of local files through the UI.

Need a connector that isn’t listed? Contact Kamiwaza Support to discuss roadmap status or professional-services extensions.

Operational guidance