AINewsnow

Build a RAG Evaluation Set Before You Ship Your AI Feature

This story is from 2026-10-07. It is preserved in the archive; the latest stories are on the live feed.

Build a small evaluation set before you ship a RAG feature. That means 50 to 100 real questions, each with an expected answer and the source document that should support it. Score retrieval and answer quality separately, and run the set on every change to chunking, embeddings, prompts or models. Wi…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-07 18:20 · DEV Community — AI
    Build a RAG Evaluation Set Before You Ship Your AI Feature

More stories

  1. Introducing Mistral Large 4 — Mistral AI News
  2. Introducing Claude Haiku 5.5 on AWS — AWS Machine Learning Blog
  3. GPT-6 and Intelligent UI for everyone — OpenAI News
  4. Mistral Says Its New AI Model ‘Le Chonk’ Is the Best Open-Weight Offering Outside of China — Wired AI
  5. Sharing AI progress in mathematics — OpenAI News
  6. NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents — NVIDIA Blog
  7. Surface RTX Spark Dev Box is available for preorder for $5,999 — The Verge AI
  8. Introducing Playground: Create and play custom games — Google AI Blog

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