RAG

LLMIntermediate

Definition

Alias for Retrieval‑Augmented Generation (RAG), a technique that retrieves relevant context from a knowledge source and injects it into the prompt to improve factuality and grounding.

Why "RAG" Matters in AI

Understanding rag is essential for anyone working with artificial intelligence tools and technologies. As a core concept in Large Language Models, rag directly impacts how AI systems like ChatGPT, Claude, and Gemini process and generate text. Whether you're a developer, business leader, or AI enthusiast, grasping this concept will help you make better decisions when selecting and using AI tools.

Learn More About AI

Deepen your understanding of rag and related AI concepts:

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Related terms

Retrieval Augmented Generation (RAG)Grounding (Knowledge Grounding)Vector DatabaseRerankingEmbeddings

Frequently Asked Questions

What is RAG?

Alias for Retrieval‑Augmented Generation (RAG), a technique that retrieves relevant context from a knowledge source and injects it into the prompt to improve factuality and grounding....

Why is RAG important in AI?

RAG is a intermediate concept in the llm domain. Understanding it helps practitioners and users work more effectively with AI systems, make informed tool choices, and stay current with industry developments.

How can I learn more about RAG?

Start with our AI Fundamentals course, explore related terms in our glossary, and stay updated with the latest developments in our AI News section.

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