RAG Application

Created By

hulk-phama year ago

A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.

Overview Content Tools Comments

Overview

what is MCP-RAG?

MCP-RAG is a demo application showcasing Retrieval-Augmented Generation (RAG) with integration to the MCP server, designed to enhance document retrieval and context-aware prompt generation.

how to use MCP-RAG?

To use MCP-RAG, connect to the MCP server using Claude Desktop, Cursor, or your preferred IDE, and utilize the process_query tool to ask questions about the company.

key features of MCP-RAG?

Integration with MCP server for enhanced functionality
Document retrieval using vector search with ChromaDB
Context-aware prompt generation for improved responses
Integration with LLM APIs for advanced language processing

use cases of MCP-RAG?

Retrieving relevant documents based on user queries.
Generating context-aware prompts for better interaction with LLMs.
Enhancing data retrieval processes in research and data analysis.

FAQ from MCP-RAG?

What is the purpose of MCP-RAG?

MCP-RAG is designed to demonstrate the capabilities of RAG in conjunction with the MCP server for efficient document retrieval and prompt generation.

How do I install MCP-RAG?

You can install MCP-RAG by running pip install -r requirements.txt in your terminal.

Is there a license for MCP-RAG?

Yes, MCP-RAG is licensed under the MIT License.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

hulk-pham

Star

0

Language

Python

License

-

Category

research-and-data

Tags

Homepage

https://github.com/hulk-pham/MCP-RAG

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