How RAG Powers Accurate AI Answers

Ever wondered how AI gives you spot-on answers in seconds? It's not magic. It's RAG.

The problem is traditional chatbots often get it wrong. They rely on limited training data,

so answers can be outdated, vague, or just plain inaccurate. That's where RAG

comes in. It stands for Retrieval Augmented Generation, combining search with AI to deliver

answers that are both accurate and contextual. Here's how it works. RAG pulls real-time

knowledge from trusted sources, then generates a clear conversational response,

always up-to-date, always relevant. Imagine asking about a refund policy. Instead of guessing,

RAG retrieves the actual document and explains it in plain language. That's why RAG agents