{"repo":"Azure/GPT-RAG","free":true,"listed":false,"github":"https://github.com/Azure/GPT-RAG","clone":"git clone https://github.com/Azure/GPT-RAG.git","description":"Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.","language":"Python","stars":1167,"topics":["azure","gpt-3","gpt-4","openai","azd-templates"],"license":"MIT","category":"ai-agents","readme_excerpt":"GPT-RAG Solution Accelerator 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. Getting started Head to the documentation site for the complete guides: - Deployment Guide covers Basic, Zero Trust, and network-isolated deployments, preflight checks, jumpbox workflow, and container image builds. - Grounding sources overview covers Foundry IQ, Azure AI Search, Work IQ, and how to pick a source. Deeper how-tos for each source are linked from the overview. - What's New highlights the notable features added over time. Architecture Zero-Trust Architecture AI Agent Capabilities 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 ada","default_branch":null,"files":null,"tree":[],"storefront":"/r/Azure","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Azure/GPT-RAG/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}