RAG (Retrieval-Augmented Generation) combines document search and text generation. Instead of answering “from memory”, the system searches your documents for relevant passages and uses them as context to generate the answer.
The result: accurate, up-to-date and verifiable answers, with source citation. Ideal for corporate knowledge bases, customer support and compliance.
Employees ask in natural language and receive answers extracted from manuals, policies, internal procedures. With direct link to the original document.
A chatbot that answers customers based on the official knowledge base. Consistent answers, cited sources, escalation if the question goes beyond scope.
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