Ravitejaa45/Agentic-RAG-Chatbot-for-Multi-Format-Document-QA-using-Model-Context-Protocol-MCP-

Score: 18.8 Rank #15118

Retrieval-Augmented Generation (RAG) chatbot using Model Context Protocol (MCP) for structured agent communication. Supports QA over multi-format documents (PDF, DOCX, CSV, PPTX, TXT) using Docling, with FAISS vector search and LLaMA3 via Groq.

Overview

Ravitejaa45/Agentic-RAG-Chatbot-for-Multi-Format-Document-QA-using-Model-Context-Protocol-MCP- is a Python MCP server. Retrieval-Augmented Generation (RAG) chatbot using Model Context Protocol (MCP) for structured agent communication. Supports QA over multi-format documents (PDF, DOCX, CSV, PPTX, TXT) using Docling, with FAISS vector search and LLaMA3 via Groq.

Ranked #15118 out of 25632 indexed tools.

Ecosystem

Python No license

Signal Breakdown

Stars 1

Freshness 7mo ago

Issue Health 50%

Contributors 0

Dependents 0

Forks 0

Description Detailed

License None

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 237 days ago — a recent commit would boost your freshness score

Contributors medium impact

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AgentRank score for Ravitejaa45/Agentic-RAG-Chatbot-for-Multi-Format-Document-QA-using-Model-Context-Protocol-MCP-

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: —
Last Commit: 7mo ago

Matched Queries

"model context protocol""model-context-protocol"

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