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/.
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Redis HNSW EF_RUNTIME: the library default (not set by Spring AI) against explicit values; index rebuilt and reloaded each time
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ef_runtime recall@10 p50 ms filt recall filt p50 ms
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default 0.616 0.6 1.000 1.4
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50 0.962 0.6 1.000 1.3
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200 1.000 0.8 1.000 1.3
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