MCP - Question-Answer System with RAG
MCP is an advanced question-answering system using the Retrieval-Augmented Generation (RAG) technique to provide accurate and contextual answers based on a corpus of documents.
Features
- 🔍 Semantic search in documents
- 💾 Smart caching with Redis
- 📊 Persistent storage with MongoDB
- 🤖 Integration with OpenAI for embeddings and text generation
- 📈 System monitoring and metrics
- 🔄 Asynchronous operations management
Prerequisites
- Python 3.9+
- MongoDB Community Edition
- Redis
- OpenAI API Key
Facility
- Clone the repository:
git clone https://github.com/votre-username/mcp.git
cd mcp
- Install system dependencies:
# MongoDB
brew tap mongodb/brew
brew install mongodb-community
brew services start mongodb-community
# Redis
brew install redis
brew services start redis
- Configure the Python environment:
python -m venv .venv
source .venv/bin/activate # Sur Unix/macOS
pip install -r requirements.txt
- Configure environment variables:
cp .env.example .env
# Éditer .env avec vos configurations
Quick use
from src.rag import RAGWorkflow
# Initialisation
rag = RAGWorkflow()
# Ingestion de documents
await rag.ingest_documents("chemin/vers/documents")
# Interrogation
response = await rag.query("Votre question ici ?")
Documentation
Tests
python -m pytest tests/ -v
Project structure
mcp/
├── src/
│ ├── __init__.py
│ ├── rag.py # Workflow RAG principal
│ ├── models.py # Modèles de données
│ ├── mongo_operations.py # Opérations MongoDB
│ ├── redis_operations.py # Opérations Redis
│ └── database.py # Configuration de la base de données
├── tests/
│ ├── __init__.py
│ ├── test_mcp.py
│ └── test_mongo_integration.py
├── prompts/
│ ├── system_prompt.txt
│ ├── query_prompt.txt
│ └── response_prompt.txt
├── docs/
│ ├── installation.md
│ ├── usage.md
│ ├── architecture.md
│ └── api.md
├── requirements.txt
├── .env.example
└── README.md
Contribution
- Fork the project
- Create a branch for your feature (
git checkout -b feature/AmazingFeature ) - Commit your changes (
git commit -m 'Add some AmazingFeature' ) - Push to branch (
git push origin feature/AmazingFeature ) - Open a Pull Request
License
This project is licensed under the MIT License. See the LICENSE file for details.
Your Name - @your_twitter
Project link: https://github.com/your-username/mcp