This solution accelerator provides architecture templates and deployment assets to help organizations build secure, scalable, and enterprise-ready Retrieval-Augmented Generation (RAG) solutions powered by AI Agents. It applies proven Azure design patterns and incorporates Zero-Trust security, Responsible AI, and end-to-end observability, enabling teams to operationalize Generative AI with confidence.
For full documentation, visit the GPT-RAG documentation site.
GPT-RAG is built on a Zero-Trust architecture to ensure that all components operate within a controlled, isolated environment. Network access is tightly governed, and communication between services follows least-privilege principles.
Zero-Trust Architecture
The accelerator supports a broad range of enterprise scenarios—from customer support to decision automation—by enabling systems to process complex queries across large data collections. It is designed for seamless integration into existing environments and can be adapted to both straightforward and advanced operational patterns.
A key capability of GPT-RAG is its support for AI Agents, enabling scenarios such as NL2SQL query generation and other context-aware interactions. This extensibility allows organizations to build intelligent workflows that retrieve, interpret, and act on data with contextual precision.
GPT-RAG UI
We welcome contributions! See the contribution guidelines for details on how to contribute.
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