RAG

RAG

Agentic-RAG: When Innovation Feels Enforced, Not Evolved

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  Agentic-RAG: When Innovation Feels Enforced, Not Evolved By Neeraj Baluni | Enterprise AI Strategy & Transformation The Truth Few Want to Admit Not every organization needs “Agentic” AI systems — at least, not today. For most enterprises, what they truly need are reliable, auditable, and policy-driven AI systems that complement their existing IT investments, […]

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FAQ: Retrieval-Augmented Generation (RAG) Systems – Expectations, Limits & Best Practices

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1. What is a RAG-based system? RAG (Retrieval-Augmented Generation) is an AI system design where a retriever pulls relevant documents or chunks from a knowledge base, and a generator (like GPT or LLaMA) uses that content to answer a user’s question in natural language. It enables AI to: Work with private data Provide traceable, source-backed

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