Add vector-stores module: one dataset through VectorStore on pgvector, Redis, Qdrant and Elasticsearch
Co-Authored-By: Claude Sonnet 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01JXVi2GMQ7bR5EmbUFdDj7N
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30000 x 384 float32 = 46 MB of raw vectors. PSS = proportional set size of the service's processes, read from /proc, after loading and querying.
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store PSS MB size of the loaded data, as the store reports it
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pgvector 153 table+toast 59 MB, hnsw index 59 MB
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redis 422 used_memory 434 MB for 30000 keys (everything lives in RAM); one document = 10600 bytes; vector_index_sz_mb=55.4
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qdrant 172 storage dir 144 MB
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elasticsearch 1550 index store.size/docs.count [{"store.size":"54.3mb","docs.count":"30000"}] (JVM heap fixed at -Xmx1g)
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