paper-qa VS gpt4-pdf-chatbot-langchain

Why does this post link to a renamed fork of Paper-QA (https://github.com/whitead/paper-qa) which has made zero changes and is 19 commits behind the original?

To be honest, I'm not too sure about this part, and think that it is probably not the best approach to have the model itself generate references. I prefer the approach used in e.g. paperqa, but wanted to explore both options.

I’ve come across Paper QA (github page) and as a graduate student I loved the idea that when I do literature review and find tons of papers I can just ask the AI to find the info I’m looking for in the paper. However, this service requires OpenAI API key, which I’ve acquired but turns out it’s a paid service. Free key doesn’t get me anything. Is there a service/software like this that is free? Or something that I can host on my PC instead of using people’s servers so it’s cheaper/free?

I tried it [1] a lot, but I must say it confuses me most of the time and I need to read the original text to check if it makes sense. Lots of times it doesn't.

[1] https://github.com/whitead/paper-qa

Have a look at this: https://github.com/whitead/paper-qa

1: We are finding out. Someone else mentioned: https://github.com/whitead/paper-qa We're hoping to keep our service be accessible and easy to use, and add features. Such as from your other questions...

2: We are thinking of the website integration. Do you think OpenAI may release this too? Questions received by email is a new idea that sounds interesting!

3: Thanks for the suggestion – we will look into it.

I am playing around with this github project, which takes a user question as input and immediately runs a vector search on it to find relevant storied information before delivering an answer.

I am using this https://github.com/mayooear/gpt4-pdf-chatbot-langchain as a reference to ingest PDFs into pinecone and chat with a document, but my results aren’t good. Since it’s looking for related documents, there’s no good relation to the meta question: “What questions were asked in this interview?”

Anyone can already do this locally with their own API keys for free, with no technical knowledge by cloning a github repo (e.g. https://github.com/mayooear/gpt4-pdf-chatbot-langchain - this one can also chat with multiple pdfs which is much better). Even with gpt-4, I just don't find the responses useful usually. I find the model doesn't do great with scientific stuff aside from asking very basic things. Might have to wait for gpt-5.

https://github.com/mayooear/gpt4-pdf-chatbot-langchain this repo uses gpt-3.5/4 which uses OpenAI API. Is there any work donw with free/open-source LLMs

Follow this guide https://github.com/mayooear/gpt4-pdf-chatbot-langchain

I am using this one on windows 10. Took 2 evenings to set up: https://github.com/mayooear/gpt4-pdf-chatbot-langchain

Thanks for your take on the subject. I agree that starting from scratch would be too much. I think my post above might be misleading in regard to training. I wouldn't suggest to start from scratch but to provide additional data to a pretrained AI. But you can use GPT-4 (through API) in combination with pinecone to provide data. Here is a project, where someone implemented this to work with large PDF files. I don't think it would be too hard, to start from there and adapt the project to the requirements of OP. Obviously this would require paid for API keys. LLama could be also a good starting point, with a lot of resources available.

I'm currently developing a chatbot application that interacts with PDF documents using GPT API, Langchain, and a Pinecone vector database. The project is built on this repository: mayooear/gpt4-pdf-chatbot-langchain.