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This project implements a production-grade Agentic RAG system built using:
Model Context Protocol (MCP)
Qdrant Vector Database
HuggingFace Embeddings (nomic-embed-text)
Custom Retrieval Tools (FAQ RAG + BrightData Web Search)
FastMCP Tool Server
It is designed as a fully modular, scalable retrieval layer for LLM agents, suitable for ML assistants, research agents, and intelligent helpdesk systems.
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Multi-Agent RAG System using Model Context Protocol (MCP) + Qdrant + HuggingFace Embeddings