A comprehensive 8-hour freeCodeCamp course covering production-grade RAG systems with LangChain and vector databases. Topics span the full pipeline: document processing, embedding dimensions, Chroma and Supabase/PGVector setup, hybrid search, token budgeting, observability with LangSmith, scaling, security, and advanced architectures including agentic RAG, GraphRAG, and multimodal RAG with ColPali. The course bridges the gap between simple prototypes and real-world deployable AI applications.

2m read timeFrom freecodecamp.org
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