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
parent 527f4ba7ff
commit 74e6334704
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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