What RAG is
Retrieval-augmented generation gives an AI model relevant information from your own sources before it answers. Instead of relying only on what the model learned during training, the system searches your documents, passes the best passages to the model, and asks it to answer from them.
When to use it
RAG suits questions about information that is private, changes often, or must be cited: policies, product documentation, contracts, support history and internal knowledge bases.
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