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LangGraph integrates with Microsoft Foundry IQ via MCP for advanced RAG

By PulseAugur Editorial · [2 sources] ·

This guide details how to integrate a LangGraph agent with Microsoft Foundry IQ for enhanced retrieval-augmented generation (RAG). The process involves using the MCP (Machine Computation Protocol) as an intermediary, allowing LangGraph to query Foundry IQ's knowledge bases without rebuilding existing RAG pipelines. The tutorial highlights key integration challenges such as token expiration, per-user permission filtering, and managing dual-planner systems, while emphasizing the reusability of Foundry IQ knowledge bases across different agent types and sources. AI

IMPACT Enables more sophisticated RAG pipelines by leveraging enterprise content without rebuilding existing infrastructure.

RANK_REASON The article describes a technical integration between two existing tools, LangGraph and Foundry IQ, rather than a new release from a frontier lab.

Read on Medium — MCP tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LangGraph integrates with Microsoft Foundry IQ via MCP for advanced RAG

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Tool
The article describes a technical integration between two existing tools, LangGraph and Foundry IQ, rather than a new release from a frontier lab.
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2 independent sources
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product, infra
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High
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39 days old
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COVERAGE [2]

  1. Medium — MCP tag TIER_1 English(EN) · Jubin Soni ·

    How to Connect a Foundry IQ Knowledge Base to LangGraph over MCP

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/codetodeploy/how-to-connect-a-foundry-iq-knowledge-base-to-langgraph-over-mcp-19306beb1d11?source=rss------mcp-5"><img src="https://cdn-images-1.medium.com/max/1000/0*AvX8wVWFCYt31Djd.png" widt…

  2. dev.to — MCP tag TIER_1 English(EN) · Jubin Soni ·

    How to Connect a Foundry IQ Knowledge Base to LangGraph over MCP

    <p><em>A step-by-step guide to grounding a LangGraph agent in Microsoft Foundry IQ agentic retrieval — without rebuilding your RAG pipeline.</em></p> <h2> Why this integration is worth doing </h2> <p>If you build agents on LangGraph and your enterprise content lives in Azure, you…

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