Governed knowledge ingestion engine with artifact lineage, confidence evolution, replayable stages, and append-only persistence. Transcript is just the input — output is traceable artifacts.
-
Updated
Feb 20, 2026 - Python
Governed knowledge ingestion engine with artifact lineage, confidence evolution, replayable stages, and append-only persistence. Transcript is just the input — output is traceable artifacts.
A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.
A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.
Add a description, image, and links to the knowledge-ingestion topic page so that developers can more easily learn about it.
To associate your repository with the knowledge-ingestion topic, visit your repo's landing page and select "manage topics."