gpt-project-insight
gpt4-pdf-chatbot-langchain
| gpt-project-insight | gpt4-pdf-chatbot-langchain | |
|---|---|---|
| 4 | 32 | |
| 43 | 14,573 | |
| - | - | |
| 7.7 | 3.9 | |
| 4 months ago | about 1 month ago | |
| Vue | TypeScript | |
| - | - |
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gpt-project-insight
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ChatGPT - code base
Hi! Check this - https://github.com/Kypaku/gpt-project-insight
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ChatGPT for your files - Discovered an AI research tool that allows you to ask questions across multiple files all at once and get instant answers with highlighted references
In addition, if you are dealing with files, particularly code projects, you can utilize the following resource: https://github.com/Kypaku/gpt-project-insight
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GPT Project Insight
I want to present to you an update on my project dedicated to generating documentation.
All previous functions have been preserved. But now the project focuses on working with projects containing a code or text base.
It means that you can not only generate descriptions for your files but use them for working with ChatGPT.
I attach schemes of how it works and some of the examples. It works fantastic, especially with GPT-4.
The repo - https://github.com/Kypaku/gpt-project-insight
How it works:
gpt4-pdf-chatbot-langchain
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Back and forth conversations before a vector search?
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.
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How do I ask a meta question to a document? (Retrieval augmented generation, langchain, pinecone)
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?”
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Recently I launched dataspot Ai tool for students and academics, that turns any type of content such as research paper, website, or YouTube video into interactive chatbot. You can effortlessly retrieve information, obtain summaries. Google "dataspot ai" & let me know what you think :)
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.
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Chat with Documents using Open source LLMs
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
- Using ChatGPT to read multiple PDFs and create writing using them as sources
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How do you train GPT on your own documents?
Follow this guide https://github.com/mayooear/gpt4-pdf-chatbot-langchain
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Best GPT-based tool for summarizing PDFs/long docs
I am using this one on windows 10. Took 2 evenings to set up: https://github.com/mayooear/gpt4-pdf-chatbot-langchain
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Earthling Ed ChatGPT type AI
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.
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Seeking Cost-Effective Alternatives and Optimization Tips for a GPT-based PDF Chatbot
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.
- ChatGPT for your files - Discovered an AI research tool that allows you to ask questions across multiple files all at once and get instant answers with highlighted references
What are some alternatives?
documate - Embed AI chat dialog into your doc site to answer user questions based on your own content.
openai-cookbook - Examples and guides for using the OpenAI API
chatgpt-translator - A translation desktop app based on Electron and ChatGPT.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
study-smart-ai - GPT assisted learning!
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
gpt-files-documentation - An engine for generating recursive documentation and using it to work on a project with ChatGPT [Moved to: https://github.com/Kypaku/gpt-project-insight]
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
examor - For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning 🎓
vault-ai - OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
antares - A modern, fast and productivity driven SQL client with a focus in UX
chatpdf-gpt - ChatPDF-GPT is an innovative chat interface application powered by LangChain and OpenAI, allowing users to upload and chat with PDF documents, stored in Pinecone vector database and Supabase storage.