23/05/2026
Agentic RAG is an advanced form of Retrieval-Augmented Generation where AI systems do more than just retrieve information and generate answers.
Instead of a single search process, Agentic RAG can:
• Break complex problems into smaller tasks
• Search across multiple data sources
• Decide which tools or information are relevant
• Validate and refine responses before answering
• Continuously improve the quality of outputs through iterative reasoning
Unlike traditional RAG, which follows a fixed retrieve-and-respond flow, Agentic RAG behaves more like an intelligent assistant or researcher that can plan, reason, and take actions dynamically.
A good breakdown for anyone building with AI in 2026 and beyond.
Read here: https://www.saturncube.com/blog-details/what-is-agentic-rag
