Amazon Q Business launches Agentic RAG to enhance accuracy and explainability

Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, today introduced Agentic Retrieval-Augmented Generation (RAG) for Q Business applications. The new feature significantly enhances the ability of Q Business to provide more accurate and explainable responses to complex, multi-step RAG queries.

Using Agentic RAG, Q Business uses AI agents to dynamically plan the retrieval and response generation for user’s queries that target enterprise data. Agentic RAG breaks down complex queries into simpler ones, executes them in parallel to retrieve data, intelligently invokes data retrieval tools, and combines the data to generate comprehensive responses. The built-in AI agents critique and validate the responses, and retry retrievals if necessary, resulting in higher accuracy. Through Agentic RAG, Q Business delivers a more intuitive dialogue experience, proactively resolving data conflicts through targeted clarifying questions and maintaining momentum with contextually relevant follow-ups – all while keeping users informed of the actions that Q Business takes.

Agentic RAG is available in all AWS Regions where Amazon Q Business is offered. For any of their queries targeting their company knowledge, users can leverage this feature by toggling the “Advanced Search” option in the built-in web application. For more details, refer to the documentation. For more information about Amazon Q Business and its features, please visit the Amazon Q product page.

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Source: Amazon Web Services

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