Azure/GPT-RAG

Health v2 · maintenance only

Adoption not part of the score

1170 stars · 319 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GPT-RAG is an Azure solution accelerator providing architecture templates and deployment assets for enterprise-scale Retrieval-Augmented Generation using Azure OpenAI and Azure AI Search. It ships with Zero-Trust security, Responsible AI practices, observability, and AI agent capabilities such as NL2SQL query generation.

Use cases

• deploy a secure enterprise RAG chatbot on Azure
• build a Q&A experience over company documents with Azure OpenAI
• set up ChatGPT-style chat grounded in enterprise data
• implement zero-trust network-isolated OpenAI deployments
• generate SQL from natural language with AI agents
• operationalize generative AI at enterprise scale

When to choose

• you are all-in on Azure and want Azure OpenAI with Azure AI Search
• you need a production-ready, security-reviewed RAG reference architecture
• you want zero-trust, network-isolated deployment out of the box
• you need agent extensibility like NL2SQL on top of RAG

When to avoid

• you want a cloud-agnostic or self-hosted open-model RAG stack
• you use AWS, GCP, or on-prem infrastructure instead of Azure
• you need a lightweight library to embed in an existing app rather than a full accelerator
• you want to avoid Azure-specific services like AI Search and AI Foundry

Facets

framework · maturity active

rag llm-inference agent-framework search-engine chatbot infrastructure-as-code monitoring security large-language-models cloud-computing self-hosted cloud python azure-openai azure-ai-search solution-accelerator zero-trust enterprise-ai bicep azd-templates responsible-ai retrieval-augmented-generation ai-agents docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Azure/GPT-RAG")