asmhatreandClaude Sonnet 5.5
80db4eb8ac
Co-Authored-By: Claude Sonnet 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01JXVi2GMQ7bR5EmbUFdDj7N
8 lines
611 B
Plaintext
8 lines
611 B
Plaintext
pgvector hnsw.ef_search = 40
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pgvector index: CREATE INDEX vs_bench_index ON public.vs_bench USING hnsw (embedding vector_cosine_ops)
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elasticsearch embedding mapping: "embedding":{"type":"dense_vector","dims":384,"index":true,"similarity":"cosine","index_options":{"type":"bbq_hnsw","m":16,"ef_construction":100,"rescore_vector":{"oversample":3.0}}}
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qdrant points_count=30000 indexed_vectors_count=30000
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qdrant hnsw_config: "hnsw_config":{"m":16,"ef_construct":100,"full_scan_threshold":10000,"max_indexing_threads":0,"on_disk":false}
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qdrant indexing_threshold (KB): 10000
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redis num_docs=30000 percent_indexed=1
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