Glossary
Retrieval-Augmented Generation (RAG)
Definition
Retrieval-Augmented Generation (RAG) is a technique where an AI model retrieves relevant information from your own data and uses it to ground its answer, so responses are accurate and current instead of guessed.
Last updated
Key points
- Connects a language model to your documents, databases, or knowledge base.
- Reduces hallucination by answering from retrieved facts, with citations to the source.
- Lets you update the AI's knowledge by updating the data, no retraining required.
Quick answer
Retrieval-Augmented Generation, common question
RAG is the right choice when knowledge changes often or must be sourced and citable. You update data, not the model. Fine-tuning changes how the model behaves or its style; the two are often combined.
From concept to working product.
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