AI Glossary
Retrieval-Augmented Generation (RAG)
RAG is a technique where an AI retrieves relevant information from your own documents and feeds it to the language model, so answers are grounded in your data instead of the model’s general training.
It’s how you get an AI that answers from your policies, products and proposals, accurately, with citations, and current as your content changes. RAG is usually the fastest, most reliable way to make an LLM useful for a specific business, and a core part of most agents we ship.
Where we put this to work
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