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Part IV: Information Retrieval & RAG
9 chapters (57–65). 0 key facts to review.
Chapters at a glance
57
Information retrieval primer: TF-IDF, BM25, why they still matter
58
Dense retrieval: embeddings, contrastive learning, MTEB
59
Vector index internals: HNSW, IVF, ScaNN, FAISS
60
Hybrid search and fusion
61
Chunking strategies
62
Reranking with cross-encoders
63
Query rewriting, HyDE, multi-query, query decomposition
64
RAG evaluation: Ragas, LLM-as-judge, golden sets
65
Designing a RAG system end to end
Key facts (from quizzes)
Other parts
Part I
Part II
Part III
Part IV
Part V
Part VI
Part VII
Part VIII
Part IX
Part X