Agentic RAG Assistant

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This application provides an intelligent solution for complex query answering by employing Agentic RAG and the Model Context Protocol (MCP). It dynamically identifies and retrieves the most relevant context, ensuring highly accurate and nuanced responses. By orchestrating AI agents to refine context retrieval, it moves beyond traditional RAG systems to deliver superior understanding and precision, making it ideal for building sophisticated AI-powered knowledge systems.

Características Principales

• Utilizes the Model Context Protocol (MCP) for intelligent operation
• Integrated with Qdrant for vector database management
• Capable of fielding complex user queries
• Dynamically sources optimal context for queries
• 0 GitHub stars
• Leverages Agentic RAG for enhanced accuracy

Casos de Uso

• Developing advanced intelligent Q&A systems
• Building AI assistants requiring dynamic and accurate context retrieval
• Creating applications for knowledge management and information synthesis