# What Is RAG (Retrieval-Augmented Generation) and Why Does It Matter? | Yungle

> RAG lets AI pull current facts from your own documents before answering.

Source: https://yungle.ai/faqs/what-is-rag-retrieval-augmented-generation-and-why-does-it-matter/

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FAQ

# What Is RAG (Retrieval-Augmented Generation) and Why Does It Matter?

Short answer

RAG lets AI pull current facts from your own documents before answering.

In detail

RAG (retrieval-augmented generation) lets an AI system pull real, current information from your own documents, database, or knowledge base before generating an answer, instead of relying only on what it was originally trained on. This matters because it dramatically reduces hallucinated or outdated answers — the AI is grounded in your actual product details, pricing, and policies. Any AI feature meant to answer customer or internal questions accurately needs some form of RAG behind it.

Related resources

-   Glossary

    ## RAG

    RAG is the technique AI systems use to pull in outside sources before generating an answer.

    [See full term](https://yungle.ai/glossary/retrieval-augmented-generation-rag)
-   FAQ

    ## Can AI Handle Customer Support for My Business?

    Yes for routine, repetitive questions, if it's trained on your own docs. Your team keeps the complex cases.

    [Read the full answer](https://yungle.ai/faqs/can-ai-handle-customer-support-for-my-business)
-   FAQ

    ## How Do I Future-Proof My Website for AI Search and AI Agents?

    Answer real questions clearly, keep the site fast and crawlable, and add proper schema.

    [Read the full answer](https://yungle.ai/faqs/how-do-i-future-proof-my-website-for-ai-search-and-ai-agents)

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