RAG (Retrieval Augmented Generation) is a technique that improves LLM responses by:
1. Retrieval: The AI searches for relevant information in databases or on the web
2. Augmentation: This information is added to the query context
3. Generation: The model produces a response enriched by this data
For LLM SEO, understanding RAG is essential as it determines which sources are selected to enrich AI responses.
