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spring-ai/vector-stores/output/07-pgvector-ef-search.txt
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asmhatre 74e6334704 Add vector-stores module: one dataset through VectorStore on pgvector, Redis, Qdrant and Elasticsearch
Ingest time, recall@10 against exact search, latency, metadata filtering and running cost, with
the defaults that cost recall reproduced and every figure written to output/.
2026-10-09 05:50:01 +00:00

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pgvector 0.8.7: hnsw.ef_search against the filtered query (category == 'c3' && year >= 2022); the filter is applied AFTER the index scan
ef_search iterative_scan mean hits p50 ms filt recall
40 off 2.0 1.1 0.181
200 off 2.0 1.7 0.199
1000 off 10.0 26.3 1.000
40 relaxed_order 10.0 7.9 0.621
40 strict_order 10.0 9.4 0.300