ai-template VS gpt4-pdf-chatbot-langchain

Hey HN,

gnow.io uses a personalization engine to generate GPT-4 study guides based on your learning archetype.

One thing ChatGPT doesn't allow is the ability to search and read all conversations.

Gnow is designed to act as a repository of shareable, community-driven knowledge. This makes it easy to read or fork all previously generated knowledge for free.

Some stats since launching 2 weeks ago:

- 3,178 Unique Visitors

- 9,104 Page Views

- 340 Registered Users

Also, I wouldn't be here without the open source community - so heres a next.js ai-template for chatting with files.

- https://github.com/Jordan-Gilliam/ai-template

Hey HN,

I'm a design engineer trying to break out of the 9-5.

gnow.io was born out of a personal need for a more effective, accessible, and engaging way to learn new programming topics.

As someone who has navigated the maze of online courses, tutorials, and textbooks, I found that the existing educational landscape often lacks a personalized approach that is now capable with AI.

Gnow helped me create gnow.io and I hope you give it a look :)

Some stats since launch last Wednesday:

- 1,883 Unique Visitors

- 6,293 Page Views

- 248 Registered Users

- 11 customers

I wouldn't be here without without the open source community so heres a free next.js ai-template.

- https://github.com/Jordan-Gilliam/ai-template

Happy Halloween! Happy to answer any questions

You could try something like this: https://github.com/Jordan-Gilliam/ai-template

Link to Repo

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.