If you want to build a custom AI on top of a language model, the Cat can help you:
- Language model agnostic (works with OpenAI, Cohere, HuggingFace models, custom)
- Long term memory
- Can use external tools (APIs, custom python code, other models)
- Can ingest documents (.pdf, .txt)
- Extendible via plugins
- 100% dockerized
"Would you tell me, please, which way I ought to go from here?"
"That depends a good deal on where you want to get to," said the Cat.
"I don't much care where--" said Alice.
"Then it doesn't matter which way you go," said the Cat.
(Alice's Adventures in Wonderland - Lewis Carroll)
You just need docker and docker-compose installed on your system.
Clone the repo and cd into it. Create a .env file containing:
OPENAI_KEY=<your-openai-key>
After that you can run:
docker-compose upThe first time (only) it will take several minutes, as the images occupy a few GBs.
- Chat with the Cheshire Cat on
localhost:3000. - You can also interact via REST API and try out the endpoints on
localhost:1865/docs
When you're done, remember to CTRL+c in the terminal and
docker-compose down
- QA / tests
- docs and tutorials
- online demo
- voice interface
- more plugins shipped by default
- (surprise!!!) PURR
If you have a suggestion that would make this better, open an issue and we can reason about it. If you want to contribute code, fork the repo and create a pull request.
- Try out the Cat
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request ((if it contains lots of code, please discuss it beforehand opening a issue))
You can start simply by:
- Making tutorials and docs
- Sharing on social media
Don't forget to give the project a star!⭐ Thanks again!🙏