Production RAG with LangChain & Vector Databases – Full Course

freeCodeCamp
AI summary

Comprehensive course on building production-ready RAG systems, covering the full pipeline from document loading through embedding optimization, vector database selection (Chroma, PGVector/Supabase), hybrid search, and observability with LangSmith. Designed for developers who have basic RAG knowledge and want to understand why most RAG projects fail in production, with hands-on code for building, debugging, optimizing, and scaling real-world systems.