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🧠Advanced RAG: graphs, hybrid retrieval, and evaluation

Nine lessons that take Retrieval-Augmented Generation past the cosine-search baseline. Chunking, hybrid retrieval with rerankers, query rewriting, GraphRAG and HippoRAG/RAPTOR, agentic multi-hop patterns, and how to actually evaluate the whole thing with RAGAS.

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Lessons in order

  1. 1
    Programming
    Mastering Retrieval-Augmented Generation (RAG)
    Start
  2. 2
    Programming
    Vector Databases and Similarity Search: Unlocking Semantic Understanding
    Start
  3. 3
    AI
    RAG Chunking Strategies: From Fixed-Size to Late Chunking
    Start
  4. 4
    AI
    Hybrid Retrieval for RAG: BM25, Dense Vectors, and Cross-Encoder Reranking
    Start
  5. 5
    AI
    RAG Query Rewriting: HyDE, Multi-Query, Decomposition, and Step-Back
    Start
  6. 6
    AI
    GraphRAG: Knowledge-Graph Augmented Retrieval
    Start
  7. 7
    AI
    HippoRAG and RAPTOR: Hierarchical and Memory-Style RAG
    Start
  8. 8
    AI
    Agentic RAG: Self-RAG, CRAG, and Multi-Hop Reasoning
    Start
  9. 9
    AI
    Evaluating RAG Pipelines with RAGAS
    Start