The GenAI Stack is a collection of technologies and services provided by Docker to simplify AI/ML integration, making it accessible to developers. The main components of the GenAI Stack include Docker, Compose, Python, Neo4j, OpenAI, Boto3, FastAPI, Torch, and Sentence Transformers. These components are grouped together to make management easier and to provide a range of helpful tools, code templates, how-to guides, and GenAI best practices.
The GenAI Stack is designed to be comprehensive and easy to use. It is available in Early Access and can be accessed from the Docker Desktop Learning Center or on GitHub. To learn more about the GenAI Stack and its capabilities, you can refer to the official documentation and blog posts from Docker.
Here are some resources for learning more about the GenAI Stack and its components:
- Docker Blog: Introducing a New GenAI Stack: Streamlined AI/ML Integration Made Easy (https://www.docker.com/blog/introducing-a-new-genai-stack/)
- Docker Desktop Learning Center: GenAI Stack (https://desktop.docker.com/genai-stack)
- GitHub: GenAI Stack (https://github.com/docker/genai-stack/)
In addition to these resources, you can also refer to the official documentation for each of the GenAI Stack components for more detailed information and examples. Here are some links to the documentation for the main components of the GenAI Stack:
- Docker: https://docs.docker.com/
- Compose: https://docs.docker.com/compose/
- Python: https://docs.python.org/3/
- Neo4j: https://neo4j.com/docs/
- OpenAI: https://platform.openai.com/docs/
- Boto3: https://boto3.amazonaws.com/v1/documentation/api/latest/index.html
- FastAPI: https://fastapi.tiangolo.com/
- Torch: https://pytorch.org/docs/
- Sentence Transformers: https://www.sbert.net/
These resources should provide a comprehensive overview of the GenAI Stack and its components, as well as examples and best practices for using them.
