Title: Week 04 Resources
Course: AIINFRA 301: Production RAG & LLMOps — Observability and Evaluation > Section: Week 04 — Indexing Deep Dive: HNSW vs IVF and Metadata Filtering

📚 Resources

- Title: HNSW parameter tuning (M, efConstruction, ef_search): https://milvus.io/blog/understanding-ivf-vector-index-how-It-works-and-when-to-choose-it-over-hnsw.md
- Title: pgvector HNSW index creation syntax: https://www.tigerdata.com/learn/postgresql-extensions-pgvector
- Title: Filtered ANN Search: System Design and Performance: https://arxiv.org/pdf/2602.11443
- Title: pgvector HNSW vs IVFFlat index build-and-benchmark: https://github.com/pgvector/pgvector#indexing
- Title: Qdrant filterable HNSW: payload indexes + metadata filtering: https://qdrant.tech/articles/vector-search-filtering/
- Title: Filtering — Qdrant Documentation: https://qdrant.tech/documentation/search/filtering/

Week 05 · Chunking Strategies for Real-World Documents

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