wehub-resource-sync100% local RAG app to chat with GitHub!
This project leverages GitIngest to parse a GitHub repo in markdown format and the use LlamaIndex for RAG orchestration over it.
Installation and setup
Install Dependencies: Ensure you have Python 3.9 or later installed (tested with Python 3.11.9).
Option 1: Using requirements.txt (Recommended)
pip install -r requirements.txt
Option 2: Manual installation
pip install gitingest llama-index llama-index-llms-ollama llama-index-llms-openai llama-index-agent-openai llama-index-embeddings-huggingface streamlit pandas python-dotenv huggingface-hub
Environment Setup:
For OpenAI integration, create a .env file in the project directory:
OPENAI_API_KEY=your_openai_api_key_here
Running:
Make sure you have Ollama Server running then you can run following command to start the streamlit application streamlit run app_local.py.
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Contribution
Contributions are welcome! Please fork the repository and submit a pull request with your improvements.