gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs (by mayooear)
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. (by anis-marrouchi)
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| gpt4-pdf-chatbot-langchain | chatpdf-gpt | |
|---|---|---|
| 32 | 1 | |
| 14,573 | 143 | |
| - | - | |
| 3.9 | 5.2 | |
| about 1 month ago | 7 months ago | |
| TypeScript | TypeScript | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gpt4-pdf-chatbot-langchain
Posts with mentions or reviews of gpt4-pdf-chatbot-langchain.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-04.
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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
chatpdf-gpt
Posts with mentions or reviews of chatpdf-gpt.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing gpt4-pdf-chatbot-langchain and chatpdf-gpt you can also consider the following projects:
openai-cookbook - Examples and guides for using the OpenAI API
skyagi - SkyAGI: Emerging human-behavior simulation capability in LLM
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
doc-chatbot - Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
ai - Build AI-powered applications with React, Svelte, Vue, and Solid
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.
semantic-search-openai-pinecone - Semantic search with openai's embeddings stored to pineconedb (vector database)
Parsr - Transforms PDF, Documents and Images into Enriched Structured Data
semantic-search-nextjs-pinecone-langchain-chatgpt - Embeds text files into vectors, stores them on Pinecone, and enables semantic search using GPT3 and Langchain in a Next.js UI
gpt4-pdf-chatbot-langchain vs openai-cookbook
chatpdf-gpt vs skyagi
gpt4-pdf-chatbot-langchain vs localGPT
chatpdf-gpt vs doc-chatbot
gpt4-pdf-chatbot-langchain vs private-gpt
chatpdf-gpt vs E2B
gpt4-pdf-chatbot-langchain vs marqo
chatpdf-gpt vs ai
gpt4-pdf-chatbot-langchain vs vault-ai
chatpdf-gpt vs semantic-search-openai-pinecone
gpt4-pdf-chatbot-langchain vs Parsr
chatpdf-gpt vs semantic-search-nextjs-pinecone-langchain-chatgpt