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MCP Agentic-Rag-Model

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.

Python MCP Qdrant HuggingFace License: MIT Status

ChatGPT Image Feb 4, 2026, 09_01_10 PM

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Multi-Agent RAG System using Model Context Protocol (MCP) + Qdrant + HuggingFace Embeddings

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