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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filtered query, no payload index: recall 1.000 p50 27.3 ms p95 44.2 ms
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filtered query, keyword+integer index: recall 1.000 p50 1.7 ms p95 4.8 ms
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collection vs_small points_count=10000 segments_count=2 indexed_vectors_count=0 indexing_threshold=10000 KB
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collection vs_bench points_count=30000 segments_count=2 indexed_vectors_count=30000 indexing_threshold=10000 KB
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