Your company stores hundreds of internal business reports.
You need to recommend a generative AI solution that uses an agent to answer questions based on the content in the reports.
What should you include in the recommendation?
Retrieval Augmented Generation (RAG) is the pattern designed for exactly this scenario: it retrieves relevant passages from an organization's own content (such as the internal business reports) and feeds them into a generative model's prompt so that the agent's answers are grounded in and traceable to that specific content, rather than relying solely on the model's pretrained knowledge. This is the standard approach for building agents that answer questions over a private document set, as described in Microsoft's guidance on RAG in Azure AI Search and Copilot Studio.
Community Discussion