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Building a Sub-Second Enterprise RAG Engine with PostgreSQL, pgvector, and the Gemini API

Community description: The AI engineering space is currently obsessed with unbundling the data stack. The moment...

Dev.to | Sep 13, 2026 | Rohan Khedekar

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We then search PostgreSQL for the chunks with vectors most mathematically similar to the query vector. Vector Search (PostgreSQL): < 10ms (if properly indexed with HNSW, vector search is virtually instantaneous). The vector search step is almost never the bottleneck.

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