AINewsnow

Building a Production RAG API in Go with pgvector and Gemini

This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.

Lessons from building the Restaurant Suggestion System, a Go/Gin backend with a conversational recommendation API. A RAG demo takes an afternoon: embed some documents, run a similarity search, paste the results into a prompt. A RAG API you can put in front of real users takes longer, because most o…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-29 05:44 · DEV Community — AI
    Building a Production RAG API in Go with pgvector and Gemini

More stories

  1. Google's Gemini 4 Carbon Tops AI Rankings and Hunts Security Bugs for Days — AlphaSignal
  2. 8 examples of Gemini 4 Argon in action — Google Gemini Blog
  3. Google launches Gemini 4 Carbon with a ‘significant leap’ in cybersecurity — The Verge AI
  4. Google AI gets cagey when asked who won the 2020 elections — Ars Technica AI
  5. Dive into new topics with immersive explorations in the Gemini app. — Google Gemini Blog
  6. XREAL AURA: Wired XR glasses to watch, work, and play — Google Gemini Blog
  7. Google’s AI Mode won’t say Biden won the 2020 election in the U.S. But in other countries, it’s a different story — Fast Company AI
  8. DeepMind unveils Genie 4 world model promising more realistic physics and humans — Ars Technica AI

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