Installing NotebookLlama requires a step-by-step approach to complete environment preparation and system deployment:
Pre-requirements
- Python 3.8+ runtime environment
- Docker engine (for supporting database services)
- Computing devices with more than 8GB of memory
- Three major API accounts: OpenAI/ElevenLabs/LlamaCloud
Detailed process
- Code Fetch: Pull the GitHub repository via `git clone`, checking the main branch.
- Dependency management: Replace traditional pip with emerging uv tools to improve package installation efficiency
- Key Configuration: The authentication keys for the three core APIs need to be filled in strictly in .env.example format
- Service Initialization: Pay particular attention to the need to execute the two Python tool scripts sequentially to build the knowledge indexes
- Container Deployment: Docker compose starts both the PostgreSQL database and the Jaeger monitoring system.
FAQ Tip: If you get audio related errors when you run it for the first time, you need to install ffmpeg codec additionally.
This answer comes from the articleNotebookLlama: open source document knowledge management and audio generation toolThe
May not be reproduced without permission:AI productivity tools " How to install and configure NotebookLlama and what are the prerequisites?
