Instrument

pgvector

Design: 10/10 · Support: 10/10 | Type: Vector Similarity Search Extension for PostgreSQL | Focus: HNSW & IVFFlat Indexes, Dense Vector Search & RAG Memory

Design: 10/10 · Support: 10/10 — high-dimensional vector similarity search in PostgreSQL, HNSW / IVFFlat indexing, cosine distance, and multimodal embedding retrieval.

Design: 10/10·Support: 10/10

pgvectorPostgreSQLVector SearchHNSWCosine DistanceEmbeddings

Specialist proficiency in pgvector (Design: 10/10, Support: 10/10) for vector embeddings and similarity search inside PostgreSQL. Implementing HNSW and IVFFlat vector indexing, cosine/L2 distance calculations, hybrid search combining relational filters with dense embeddings, and RAG memory storage.

Where this has actually been used

Projects

Zero-Shot & Open-Vocabulary Visual Tracking Suite

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