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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