Monorepo of Python packages for ingesting, curating, and observing LLM data workflows — bundles knowledge ingestion, dataset foundry, and observability analytics.

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.

Ingestion pipelines with artifact lineage, replayable stages, and append-only persistence.