RAG with Postgres pgvector in 2026: the full TypeScript pipeline.
I spent a week evaluating dedicated vector databases before deciding to just use the Postgres instance I already had. The pgvector extension handles similarity search well enough for most production workloads, and it collapses three infrastructure components into one. This walkthrough covers everything from schema to answer: chunk your docs, embed them, store in pgvector, retrieve by cosine similarity, and wire the results into an LLM call.
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