What is LLM RAG?
Retrieval-Augmented Generation is a framework in generative AI to give large language models the ability to generate more accurate and relevant responses from your business data.

In this framework, you combine a model with your business-specific datasets or domain-specific knowledge bases. When you ask the generative AI application a question, the system retrieves the latest, relevant data from the connected sources and guides the models to generate accurate responses.

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