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
26 changed files with 1065 additions and 0 deletions
@@ -0,0 +1,6 @@
+same 30,000 documents, same queries; only the dense_vector index_options.type differs (the first row is Spring AI's own mapping)
+type          recall@10    p50 ms  filt recall    filt p50 ms
+bbq_hnsw*         0.472       3.1        0.550            3.0
+int8_hnsw         0.967       3.6        0.969            3.2
+hnsw              0.997       3.5        1.000            2.9
+* default; its full mapping is in 04-defaults-that-matter.txt