How to build a PostgreSQL-backed semantic search pipeline with pgvector and Ollama
KhuyenTran16 · x · 2026-07-21
A technical walkthrough on building semantic search directly in PostgreSQL with pgvector instead of standing up a separate vector database.
The article covers:
- splitting documents into chunks
- generating embeddings locally with Ollama
- storing vectors in PostgreSQL
- retrieving similar chunks with pgvector
- feeding retrieved context into an LLM for answers
By the end, it produces a PostgreSQL-backed RAG pipeline from raw text to generated response.
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