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spring-ai/vector-stores/output/08-qdrant-payload-index-and-threshold.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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filtered query, no payload index: recall 1.000 p50 27.3 ms p95 44.2 ms
filtered query, keyword+integer index: recall 1.000 p50 1.7 ms p95 4.8 ms
collection vs_small points_count=10000 segments_count=2 indexed_vectors_count=0 indexing_threshold=10000 KB
collection vs_bench points_count=30000 segments_count=2 indexed_vectors_count=30000 indexing_threshold=10000 KB