unstructured
jan
unstructured | jan | |
---|---|---|
12 | 20 | |
7,108 | 19,848 | |
9.7% | 11.1% | |
9.8 | 10.0 | |
6 days ago | 6 days ago | |
HTML | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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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)
jan
- Jan – Turn your computer into an AI computer
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Devoxx Genie Plugin : an Update
I focused on supporting Ollama, GPT4All, and LMStudio, all of which run smoothly on a Mac computer. Many of these tools are user-friendly wrappers around Llama.cpp, allowing easy model downloads and providing a REST interface to query the available models. Last week, I also added "👋🏼 Jan" support because HuggingFace has endorsed this provider out-of-the-box.
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Ask HN: Which LLMs can run locally on most consumer computers
seconded - IMHO Jan has the cleanest UI and most straightforward setup out of all LLM frontends available now.
https://jan.ai/
https://github.com/janhq/jan
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Introducing Jan
As we continue this blog series, let's explore a fully open-source alternative to LM Studio - Jan, a project from Southeast Asia.
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AI enthusiasm - episode #2🚀
Jan.ai is a 100% local alternative to ChatGPT: you can download LLMs and run them directly from within the application, or even prompting them and retrieving their response via API.
- Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
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Show HN: I made an app to use local AI as daily driver
It would be cool to have the option to use the OpenAI API as well in the same interface. http://jan.ai does this, so that's what I'm using at the moment.
- Jan – Bringing AI to Your Desktop
- FLaNK 15 Jan 2024
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Why the M2 is more advanced that it seemed
Was it this? I haven’t tried it yet but it does look nice.
https://jan.ai/
What are some alternatives?
llmsherpa - Developer APIs to Accelerate LLM Projects
chainlit - Build Conversational AI in minutes ⚡️
Parsr - Transforms PDF, Documents and Images into Enriched Structured Data
obsidian-local-llm - Obsidian Local LLM is a plugin for Obsidian that provides access to a powerful neural network, allowing users to generate text in a wide range of styles and formats using a local LLM.
ragflow - RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic
FLaNK-VectorDB - NiFi and Vector Databases
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!
modelfusion-llamacpp-nextjs-starter - Starter examples for using Next.js and the Vercel AI SDK with Llama.cpp and ModelFusion.
llama_parse - Parse files for optimal RAG
VOLlama - An accessible chat client for Ollama