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AI agents with rag2026

Retrieval-Augmented Generation β€” agents that ground responses in your own data: docs, wiki, ticket history, codebase. The pattern behind every useful enterprise knowledge agent.

Want the technical definition? Read the rag glossary entry β†’

The 55 agents that ship rag

Frequently asked

What is rag in AI agents?+

Retrieval-augmented generation β€” pulling relevant documents from a knowledge base before generating, so the LLM grounds its answer in your data.

Which AI agents support rag?+

55 agents in our index ship rag. The list above is sorted by community interest; NotebookLM, OpenAI Deep Research, Microsoft Copilot are the most-researched in 2026.

How do I evaluate rag in an AI agent?+

Look for: (1) reliability across edge cases, not just demo videos; (2) how the agent recovers when rag fails mid-task; (3) whether rag is the default mode or an opt-in feature. Production-ready agents publish rag benchmarks; demos and screenshots aren't enough.

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AI agents with rag in 2026: 55 compared Β· AI Agent Rank