neozot-py
summarizepaper
| neozot-py | summarizepaper | |
|---|---|---|
| 1 | 2 | |
| 7 | 219 | |
| - | - | |
| 10.0 | 7.4 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| MIT License | - |
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neozot-py
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Arxiv articles suggestions based on your Zotero library
I have recently released a Zotero addon to suggest items from arxiv based on your zotero library. It is available at https://github.com/v-i-s-h/neozot-py and also via pip (pip install neozot). Please refer to README.md (https://github.com/v-i-s-h/neozot-py/blob/main/README.md) for usage.
summarizepaper
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It was too much work to keep track of all arXiv papers so I created this open source and free tool which could be useful for others
👨💻 It's also open-source and uses LangChain, so anyone can join in on the fun. The project is available on GitHub at https://github.com/summarizepaper/summarizepaper.
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Can you train AI on a knowledge base to offer customer support through a live chatbot?
Yes, it's not that complicated to do nowadays using embeddings. Your best shot would be to use the LangChain framework which will make your life easier to create embeddings from your docs and then search a query within your embeddings. There are also many tools that use that kind of chatbots that are totally open-source and you could just get the inspiration from there. Example: https://github.com/summarizepaper/summarizepaper
What are some alternatives?
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