OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
Agent Frameworks

GPT-RAG Solution Accelerator

GPT-RAG Solution Accelerator is an MIT-licensed, open-source Azure framework of architecture templates and deployment assets for enterprise agentic RAG applications. It orchestrates agents with Microsoft Agent Framework on Microsoft Foundry, uses Foundry IQ as its default retrieval backend, supports Azure AI Search direct, connects MCP servers for sources and tools, and provides Zero-Trust and infrastructure-as-code

Independent OpenViST project profile, based on linked sources.

GPT-RAG Solution Accelerator — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the accelerator when a team needs architecture and deployment assets for a Microsoft Foundry agent that retrieves from multiple enterprise sources and can integrate MCP tools. It is especially relevant during solution design, topology selection and infrastructure preparation.

Who it is for

  • Enterprise engineering teams building agentic RAG applications on Azure
  • Teams integrating Microsoft Foundry with enterprise retrieval sources
  • Builders creating NL2SQL, customer-support or decision-automation workflows
  • Organizations evaluating network-isolated RAG deployment patterns

Documented uses

  • Build an enterprise question-answering agent over permission-trimmed sources
  • Generate natural-language-to-SQL workflows grounded in enterprise data
  • Create customer-support assistants using multi-source retrieval
  • Connect agent workflows to MCP-integrated tools or grounding sources
  • Prepare Zero-Trust or network-isolated Azure RAG deployments
Before you choose

Requirements & limits

The repository is public and MIT licensed. The documented stack targets Azure, Microsoft Foundry, Azure AI Search, MCP and related cloud or self-hosted infrastructure components.

  • Foundry IQ is the default retrieval backend, while direct Azure AI Search remains a supported rollback path.
  • The source list includes Blob, SharePoint, OneLake, Fabric, Work IQ, Web and MCP sources with permission trimming described in the repository.
  • MCP servers can provide grounding sources and tool integrations.
  • Deployment guidance covers Basic, Zero Trust and network-isolated topologies.
  • The project supplies infrastructure and architecture assets rather than presenting itself as a finished standalone chatbot.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
GPT-RAG Solution AcceleratorBuild an enterprise question-answering agent over permission-trimmed sourcesCloud, Docker, Self-hosted, ServerThe repository is public and MIT licensed. The documented stack targets Azure, Microsoft Foundry, Azure AI Search, MCP and related cloud or self-hosted infrastructure components.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
3 October 2026
Original website title
Azure/agent-landing-zone · Official homepage title · retained in its source language
How we review sourcesSuggest a correction