RAG (Retrieval-Augmented Generation)
What is RAG (Retrieval-Augmented Generation)?
A technique that enhances AI model responses by retrieving relevant information from a knowledge base before generating answers. RAG allows agents to access up-to-date, domain-specific information without retraining the underlying model.
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