- Step1: Clone the repository from GitHub.
- Step2: Install backend and frontend dependencies via pip and npm.
- Step3: Create a .env file with your LLM API keys and vector store settings.
- Step4: Build and launch with Docker or run backend and frontend separately.
- Step5: Access the web UI at http://localhost:3000 to start a chat session.
- Step6: Upload documents or configure database connections for retrieval.
- Step7: Develop and register custom plugins or tools in the plugins folder.