LangGraph Claude Azure AI Search
Transforms enterprise document search into natural AI conversations by integrating Azure AI Search with Claude Desktop using LangGraph workflows and RAG.
About
This intelligent Model Context Protocol (MCP) server integrates Azure AI Search with Claude Desktop to revolutionize enterprise document search. By leveraging LangGraph workflows, Google Gemini, and advanced Retrieval-Augmented Generation (RAG), it transforms complex document retrieval into intuitive, natural AI conversations. It is an ideal solution for enhancing knowledge management, providing AI-powered research, and creating sophisticated conversational search interfaces across various enterprise domains, enabling users to interact with their documents in a truly conversational manner.
Key Features
- Azure AI Search Integration: Seamlessly connect to and retrieve information from your Azure AI Search indexes.
- LangGraph Workflow Engine: Utilizes LangGraph for intelligent query processing, context retrieval, and state management.
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- Google Gemini Integration: Enhances document formatting, summarization, and in-depth analysis capabilities.
- Model Context Protocol (MCP): Exposes its functionality as tools directly usable by Claude Desktop for interactive AI experiences.
- LangSmith Tracing: Provides full observability and debugging for AI chain executions, ensuring transparency and ease of development.
Use Cases
- Creating advanced conversational search interfaces and RAG applications.
- Building intelligent knowledge management and AI-powered research systems.
- Enhancing enterprise search solutions and document analysis platforms.
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