{
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      "description": "Comprehensive technical documentation and reference for the Hierarchical Navigable Small World (HNSW) algorithm and vector similarity search, covering theory, building an implementation from scratch, tuning, scaling, evaluation, applications, and a 400+ term glossary.",
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      "representativeQueries": [
        "explain how HNSW builds its layered graph",
        "what parameters should I tune for HNSW recall vs speed",
        "how does HNSW compare to other approximate nearest neighbor algorithms",
        "what is the difference between efConstruction and efSearch",
        "what is cosine distance in vector search"
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}