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Vector Database
Phase 03 · RAGtool

A database engine specifically optimized to store embeddings and perform fast similarity searches.

Why it exists

Traditional SQL databases index exact strings, not multi-dimensional mathematical vectors. Vector DBs enable sub-second vector similarity lookup.

How it works

Uses specialized index structures like HNSW to find nearest neighbor vectors in milliseconds across millions of items (e.g. Pinecone, Chroma, Qdrant).

Where you'll use this