MeGPT
unstructured
| MeGPT | unstructured | |
|---|---|---|
| 2 | 12 | |
| 107 | 6,515 | |
| - | 15.6% | |
| 3.8 | 9.8 | |
| about 1 year ago | 7 days ago | |
| Python | HTML | |
| - | Apache License 2.0 |
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MeGPT
- FLaNK 15 Jan 2024
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GPT-4 Week 6. The first AI Political Ad + Palantir's Military AI could be a new frontier for warfare - Nofil's Weekly Breakdown
Someone fine tuned an LLM on all their iMessages and open sourced it [Link]
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)
What are some alternatives?
chart-gpt - AI tool to build charts based on text input
llmsherpa - Developer APIs to Accelerate LLM Projects
gpt4free - The official gpt4free repository | various collection of powerful language models
Parsr - Transforms PDF, Documents and Images into Enriched Structured Data
databerry - The no-code platform for building custom LLM Agents
ragflow - RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
jan - Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)
pdfGPT - PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
soul-engine - Tools for creating, debugging, and deploying AI souls
awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic
Electric_and_Utilities_System_Demo - Using CDF, CDW, CML and Data Viz, this demo is a complete Electric and Utilities Company use case to broadly leverage the CDP Data Services platform
llama_parse - Parse files for optimal RAG