unstructured
pdfGPT
| unstructured | pdfGPT | |
|---|---|---|
| 12 | 9 | |
| 6,515 | 6,717 | |
| 15.6% | - | |
| 9.8 | 8.2 | |
| 7 days ago | 4 months ago | |
| HTML | Python | |
| Apache License 2.0 | MIT License |
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unstructured
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LlamaCloud and LlamaParse
Be careful with unstructured:
https://github.com/Unstructured-IO/unstructured/blob/d11c70c...
from: https://github.com/open-webui/open-webui/issues/687
- FLaNK 15 Jan 2024
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Bash One-Liners for LLMs
I’ve been looking at this
https://freeling-user-manual.readthedocs.io/en/v4.2/modules/...
at the freeling library in general, also spaCy and NLTK. The chunking algorithms being used in the likes of LangChain are remarkably bad surprisingly.
There is also
https://github.com/Unstructured-IO/unstructured
But I don’t like it, can’t explain why yet.
My intuition is that 1st step is clean sentences and paragraphs and titles/labels/headers. Then probably an LLM can handle outlining and table of contents generation using a stripped down list of objects in the text.
BRIO/BERT summarization could also have a role of some type.
Those are my ideas so far.
- Unstructured – OSS libraries and APIs to build custom preprocessing pipelines
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More intelligent Pdf parsers
Unstructured is the best one I’ve used so far: https://www.unstructured.io
- Help extracting data from multiple PDF's
- Pre-processing text documents such as PDFs, HTML and Word Documents for LLMs
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Using ChatGPT to read multiple PDFs and create writing using them as sources
https://www.unstructured.io/ can parse PDFs, then you can feed all of them to Claude, which has a 100k context window.
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How can I convert restaurant’s traditional menu in pdf file to well structured list of menu items with prices in Excel file? Thank you
If the copy & pase method does not work: One approach is to use the functionality of Unstructured to parse the PDF. If need be, it can do OCR on the PDF too if you have Detectron2 installed. After conversion you would still have to save it as an excel file though.
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PDF GPT allows you to chat with the contents of your PDF file
I would check out https://github.com/Unstructured-IO/unstructured (what lang chain uses) or https://github.com/axa-group/Parsr (probably what unstructured copied to get their startup off the ground lol)
pdfGPT
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Nvidia's Chat with RTX is a promising AI chatbot that runs locally on your PC
From "Artificial intelligence is ineffective and potentially harmful for fact checking" (2023) https://news.ycombinator.com/item?id=37226233 : pdfgpt, knowledge_gpt, elasticsearch
pdfGPT: https://github.com/bhaskatripathi/pdfGPT :
> PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities.
GH "pdfgpt" topic: https://github.com/topics/pdfgpt
knowledge_gpt: https://github.com/mmz-001/knowledge_gpt
From https://news.ycombinator.com/item?id=39112014 : paperai
neuml/paperai:
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Artificial intelligence is ineffective and potentially harmful for fact checking
What about systems like pdfgpt and knowledge_gpt; that, in returning citations from the trained texts, might be useful for legal discovery with admissibility?
pdfgpt: https://github.com/bhaskatripathi/pdfGPT
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Based on latest advancements in document transformers, what strategy would you use to parse utility bills?
PDFChatter (Universal Sentence Encoder + GPT-3.5): out of the box, this solution works quite well. However, the need for Q&A prompting (and 'black-box' nature of the solution) seems to disqualify it as an optimal solution.
- Ways to integrate PDF file content into my own Chatbot powered by GPT API
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Best secure/offline ChatGPT implementation for processing documents?
I was recommended pdfGPT and it looks good. Before I start setting it up, is there anything I should know? Are there better solutions? And how secure would it or they be?
- Is there a way to run ChatPDF (tool that allows you to upload documents and process them with ChatGPT) locally so that I don't have to worry about stuff I don't want shared leaking?
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PDF GPT allows you to chat with the contents of your PDF file
https://github.com/bhaskatripathi/pdfGPT/blob/main/app.py it's a 200 line python script, all you need to do is rewrite pdf_to_text function for whatever format your file is. gpt4 can do it.
What are some alternatives?
llmsherpa - Developer APIs to Accelerate LLM Projects
ChatPDF - Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.
Parsr - Transforms PDF, Documents and Images into Enriched Structured Data
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
ragflow - RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic
OpenChatPaper - Yet another paper reading assistant based on OpenAI ChatGPT API. An open-source version that attempts to reimplement ChatPDF. A different dialogue version of another ChatPaper project.
llama_parse - Parse files for optimal RAG
mychatGPT - GPT chat with your docs!
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.
document-ai-samples - Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud