RAG Application
1 stars
325 downloads
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About
A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.
Details
- Author
- hulk-pham
- GitHub stars
- 1
- Downloads
- 325
- Categories
- Knowledge Base
Jump to
- MCP server integration
- Document retrieval using vector search with ChromaDB
- Context-aware prompt generation
- Integration with LLM APIs
Install dependencies with pip install -r requirements.txt, set the OPENAI_API_KEY in a .env file, then connect the MCP server via Claude Desktop, Cursor, or another compatible IDE. Use the process_query tool to ask questions about the company.
RAG Application
A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.
Features
- MCP server integration - Document retrieval using vector search with ChromaDB - Context-aware prompt generation - Integration with LLM APIsInstallation
pip install -r requirements.txt
Usage
Connect to the MCP server with Claude Desktop, Cursor, or your preferred IDE.Use the process_query tool to ask questions about the company.
Configuration
Set up your environment variables in .env:OPENAI_API_KEY=your_api_key
Project Structure
app/retrieval.py: Document retrieval functionality app/context.py: Context management app/llm_client.py: LLM API integration app/prompt_builder.py: Prompt constructionLicense
MITSign in to leave a review
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