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GPT-RAG

Enterprise-grade RAG accelerator on Azure, supporting complex queries and multi-source data processing.

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Platforms: WebAPI
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 1.2k
Source
GitHub
Added
2026-09-03
Last verified
2026-09-03

Overview

GPT-RAG is an enterprise-grade RAG (Retrieval-Augmented Generation) accelerator launched by Microsoft, designed to help organizations build secure, scalable, and production-ready intelligent agent solutions on Azure. Built on the Microsoft Foundry platform, it uses Foundry IQ as the default retrieval backend and leverages the Microsoft Agent Framework for orchestration. It adopts a zero-trust architecture to ensure all components run in a controlled environment. GPT-RAG supports various enterprise scenarios such as customer service and decision automation, enabling complex queries across large datasets. It is suitable for organizations looking to integrate with existing environments and adapt to different operational models.

Key features

  • Built on Microsoft Foundry platform
  • Uses Foundry IQ as retrieval backend
  • Supports NL2SQL query generation
  • Integrates MCP server tools

Use cases

Customer serviceDecision automationComplex query processingMulti-source data retrieval

Pros

  • Enterprise-grade security
  • Supports multiple data sources
  • Flexible deployment options
  • Seamless integration with existing environments

Limitations / notes

  • Requires internet connectivity
  • Higher learning curve

Who it's for

DevelopersEnterprise teamsData analysts

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

Is it free?

GPT-RAG is an open-source project and can be used for free.

Do I need scientific internet access?

Access to Azure services is required, which may necessitate scientific internet access.

Does it support Chinese?

Documentation is primarily in English, but it supports processing multilingual data including Chinese.

Can it be used commercially?

Yes, it can be used for commercial purposes, but must comply with the relevant licensing agreements.

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