rag-tools-library
Library to support common tasks in retrieval augmented generation (RAG).
This library is in a very early stage and all the documentation is AI generated.
Tutorial and Documentation
You find a brief tutorial and the documentation under br-data.github.io/rag-tools-library.
Roadmap
- Add Google Bison to available LLMs
- Add an offline database alternative
- FAISS and SQLite
- Allow users to register their own LLMs
- Allow users to register their own Embedding models
- Support Semantic Scholar endpoint to generate embeddings for scientific papers.
- Support chat functionality; e.g. let the user give feedback on the result to the LLM.
Deployment
Run the build_and_deploy.sh script in the root folder. Once prompted for the username, pass __token__ and the pypi API
token you've received. If you don't have an API token and feel like you should, feel free to contact the maintainers.
Contact
Marco Lehner
1 maintainer
Metadata
1 maintainer
Release files for brdata-rag-tools 0.1.5.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| brdata_rag_tools-0.1.5.2.tar.gz | 14.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brdata_rag_tools-0.1.5.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.4 kB
Release files / brdata_rag_tools-0.1.5.2.tar.gz
| Download URL | brdata_rag_tools-0.1.5.2.tar.gz |
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| Size | 14.5 kB |
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Release files / brdata_rag_tools-0.1.5.2-py3-none-any.whl
| Download URL | brdata_rag_tools-0.1.5.2-py3-none-any.whl |
|---|---|
| Size | 13.9 kB |
| Tags | Python 3 |
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