gianlucamazza / langchain-rag-tutorialView on GitHub
Hands-on LangChain tutorial for Retrieval-Augmented Generation (RAG). Notebooks cover document loading, embeddings, simple and advanced RAG patterns (memory, HyDE, CRAG, agents, SQL, GraphRAG, multimodal), RAGAS evaluation, and starter Docker/FastAPI/Streamlit/Lambda templates. Not a production system.
☆16Oct 31, 2026Updated this week

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