AINewsnow

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

This story is from 2026-09-13. It is preserved in the archive; the latest stories are on the live feed.

The AI engineering space is currently obsessed with unbundling the data stack. The moment "Retrieval-Augmented Generation" (RAG) is mentioned, the default industry reflex is to spin up an expensive, dedicated vector database like Pinecone, Weaviate, or Milvus. But here is the reality for most B2B a…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-13 11:38 · DEV Community — AI
    Building a Sub-Second Enterprise RAG Engine with PostgreSQL, pgvector, and the Gemini API

More stories

  1. Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
  2. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  3. Domestic cat side view in SVG (Gemini 4.0 vs Astra Max vs 3.8 flash) — r/GeminiAI
  4. A zero-click RCE flaw in AI coding agents could have exposed enterprise systems — InfoWorld AI
  5. Gemini 4 Pro vs Gemini 3.8 Flash (Pelican Riding a Bicycle SVG) — r/GeminiAI
  6. Gemini 2.5 pro model disappeared in AI Studio — r/GeminiAI
  7. Google is SO back... — Wes Roth
  8. Is Gemini Canvas no longer opening in sidebar mode for anyone else? — r/Bard

Get the daily brief of stories like this at 6:30 every morning →