Retrieval-Augmented Generation
Short definition
A technique that augments LLM answers with up-to-date information retrieved from a knowledge base before responding.
Extended definition
In RAG, the user question is converted into a search against a database (like company docs or blog posts), then the results are passed to the LLM along with the original question. The result: accurate, current answers, instead of stale or fabricated (hallucinated) information.
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This short definition is the quick answer. For the deep dive with code examples, real case studies, and step-by-step implementation, see the full guide.
Intelligent RAG SystemsExample & use case
The Ortech support bot uses RAG to search 50 knowledge base articles, then answers the customer with verified information.
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