Why Vector Databases Need Approximate Nearest Neighbor (ANN): HNSW Graphs and the Curse of Dimensionality
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Why Vector Databases Need Approximate Nearest Neighbor (ANN): HNSW Graphs and the Curse of Dimensionality If you are building a Retrieval-Augmented Generation (RAG) pipeline or semantic search engine, your vector database is likely doing something magical: returning the top 5 most relevant document…
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- 2026-10-15 13:33 · DEV Community — AI
Why Vector Databases Need Approximate Nearest Neighbor (ANN): HNSW Graphs and the Curse of Dimensionality