A few basic RAG books.
If you want to run the containers individually then see the container document, otherwise you should only need:
For CPU:
docker-compose -f docker-compose.yml up --build
- NOTE: Only use GPU if you've installed https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
For GPU:
docker-compose -f docker-compose.gpu.yml up --build
This will build both containers, which will be located at either 127.0.0.1:8888 or localhost:8501 in a browser.
For RAG:
- Streamlit interface: localhost:8501
- Qdrant interface: localhost:6333/dashboard
- https://pytorch.org/tutorials/beginner/introyt/modelsyt_tutorial.html
- https://pytorch.org/tutorials/recipes/recipes_index.html
- https://index.quantumstat.com/
- https://github.com/niderhoff/nlp-datasets
- https://paperswithcode.com/
- https://poshcode.gitbook.io/powershell-practice-and-style/style-guide/documentation-and-comments
- https://www.youtube.com/watch?v=tHL5STNJKag