Local AI Glossary
What is RAG (Retrieval-Augmented Generation)?
Source: local-llm.net/glossary
A technique that enhances LLM responses by first retrieving relevant documents from a knowledge base and then providing those documents as context to the model. RAG reduces hallucination, enables the model to answer questions about private or recent data, and is a cornerstone of enterprise local AI deployments.
How RAG (Retrieval-Augmented Generation) fits in the local AI stack
RAG (Retrieval-Augmented Generation) is part of the broader local AI ecosystem. See the related guides, comparisons, and tools below to see how it applies in practice.
See also
- Full Local AI Glossary
- All learn topics
- What is Local AI?
- Quantization explained
- Hardware requirements
- How to choose a local LLM