RAG
AI technique for enriching language models with current data.
RAG (Retrieval-Augmented Generation) combines language models with knowledge retrieval from external data sources. Instead of relying solely on training data, the system searches for relevant documents and integrates them into the response. RAG enables current, fact-based AI responses with source citations.