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spring-ai/vector-stores/output/01-ingest.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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dataset: 30000 documents x 384 dims, 40 clusters, batches of 1000; embeddings are looked up, so this is store time only
store seconds docs/second
pgvector 41.7 719
redis 9.7 3079
qdrant 1.7 17606
elasticsearch 9.7 3106