{"id":26991548,"url":"https://github.com/djpapzin/rag-based-support-agent","last_synced_at":"2026-05-05T21:33:22.165Z","repository":{"id":286003134,"uuid":"960042956","full_name":"djpapzin/rag-based-support-agent","owner":"djpapzin","description":"A RAG-based support agent that automatically learns from resolved Zendesk tickets to provide intelligent responses to new support queries. 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Clone the repository:\n   ```bash\n   git clone https://github.com/djpapzin/rag-based-support-agent.git\n   cd rag-based-support-agent\n   ```\n\n2. Create and activate a virtual environment:\n   ```bash\n   python -m venv venv\n   source venv/bin/activate  # On Windows: venv\\Scripts\\activate\n   ```\n\n3. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n4. Set up environment variables:\n   ```bash\n   cp .env.example .env\n   ```\n   Edit `.env` with your configuration values.\n\n## Usage\n\n1. Process resolved tickets to build knowledge base:\n   ```bash\n   python -m src.main\n   ```\n\n2. Enter interactive mode to test responses:\n   ```bash\n   python -m src.main --interactive\n   ```\n\n## Configuration\n\nThe following environment variables can be configured in `.env`:\n\n- `ZENDESK_API_URL`: Your Zendesk API URL\n- `ZENDESK_API_KEY`: Your Zendesk API key\n- `OPENAI_API_KEY`: Your OpenAI API key\n- `HUGGINGFACE_API_KEY`: Your Hugging Face API key\n- `VECTOR_STORE_PATH`: Path to store vector embeddings (default: \"data/vector_store\")\n\n## License\n\nMIT License ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdjpapzin%2Frag-based-support-agent","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdjpapzin%2Frag-based-support-agent","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdjpapzin%2Frag-based-support-agent/lists"}