RAG (Retrieval-Augmented Generation)
/ræɡ/
A technique that enhances LLM outputs by retrieving relevant information from external knowledge bases.
In italiano: RAG (Retrieval-Augmented Generation)RAG combines retrieval systems with generative models. First retrieves relevant documents, then uses them as context for generation. Reduces hallucinations and enables knowledge updates without retraining.
Examples
- Question answering with document retrieval
- Customer support chatbots
- Research assistants