Definition:
RAG is an AI technique that combines a language model with external data sources to generate more accurate and up-to-date responses.

What is RAG?

RAG allows AI systems to retrieve relevant information from databases or documents before generating answers, improving reliability.

How Businesses Use RAG

• Internal knowledge assistants
• Customer support systems
• Document search and analysis
• Enterprise AI tools

Example

An AI assistant that pulls information from your company’s documents to answer employee questions accurately.

Why It Matters

RAG reduces hallucinations and ensures AI outputs are based on real, trusted data.

Related Terms

• Large Language Model (LLM)
• Vector Database
• AI Agent

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