Quick answer
AI Summary: Introduces 'Cog-RAG,' a next-generation retrieval architecture that uses agentic reasoning to plan and refine information retrieval, reducing noise and hallucinations.
AI Summary: Introduces 'Cog-RAG,' a next-generation retrieval architecture that uses agentic reasoning to plan and refine information retrieval, reducing noise and hallucinations.
Traditional Retrieval-Augmented Generation (RAG) is becoming a commodity; the next frontier is 'Cog-RAG.' This post details a new architecture where an agentic 'brain' evaluates a query, identifies knowledge gaps, and plans its search before ever touching a vector database. We dive into the 'Reasoning-First' approach that is solving the hallucination crisis in enterprise search.
Share your opinion to help other learners triage faster.
Write a reviewInvite someone by email to share an invited review for Cog-RAG: Giving RAG a Brain That Thinks Before It Retrieves.