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chiccomagnus

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Sun, Oct 09, 2016, 8:29 AM UTC
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Public activity
23 items

About chiccomagnus

Building preprocess.co in public

Recent public activity

  1. story
  2. comment
    Comment #44356268

    IMHO, your article is missing an important point: 90% of implementations today flatten documents to plain text before chunking them. Why not consider the visual appearance that the…

  3. comment
    Comment #43718931

    How does credits works?

  4. comment
    Comment #43693758

    If you don't want to reinvent the wheel, we have built exactly that, goggle "Preprocess"

  5. comment
    Comment #43570658

    Have you compared this solution with tools like Preprocess, Reducto, etc.. ? I'm curious about the performance gain you can achieve with your approach

  6. comment
    Comment #41871470

    It seems it tries to always extract tables even if the content is just text. Is not working and at a similar price you can get high performing solutions like preprocess.co and simi…

  7. comment
    Comment #41787711

    I'm curious to know how you handle the chunking of complex documents

  8. comment
    Comment #41787537

    If for "documents" you mean PDF, Word, Powerpoints, Excel you should try preprocess.co If that’s not what you meant, can you please clarify?

  9. comment
    Comment #41787439

    Do you use naive chunking? Have you tried something else?

  10. comment
    Comment #41787423

    By chance, have you tried preprocess.co for text extraction + chucking?

  11. comment
    Comment #40937396

    I see a huge missing point here: real world files are PDF, Word, PowerPoint and Excel, not only plain text.

  12. comment
    Comment #40937312

    There are more sophisticated chunking strategies, you will lose lots of context like that

  13. comment
    Comment #40635471

    Well-written article, missing key considerations: - Titles matter, a lot: if you add the title of the section at the start of each chunk you will get 10x better embeddings and so m…

  14. comment
    Comment #40274878

    The real point that has been completely ignored is that data for real applications come from Office and PDF files, and making them plain text throws all the visual information.

  15. comment
    Comment #39746232

    Sorry, but it is really strange how haphazard it is. Am I doing something wrong? It's missing more or less all the titles The order of the text is casual The system chunks at rando…

  16. comment
    Comment #39548032

    check out this https://preprocess.co

  17. comment
    Comment #39524272

    The datasets are composed by Documents like PDFs and/or Office files?

  18. comment
    Comment #39523076

    That's a good point, and documents too needs different chunking techniques. You don't want to split a word file the same way you split an excel...

  19. comment
    Comment #39523049

    You are both right about chunking, and i think is one of the main challenges. About more intelligent chunking approaches, i think you have to give a try to to preprocess.co It's ab…

  20. story
    Seeking Datasets for Evaluating File Chunking Strategies for RAG/LLM

    Hi everyone, I’m delvingg into optimizing RAG for ingest pipelines involving textual documents such as PDFs, Office documents (Word, PowerPoint, etc.), HTML files, emails, and plai…

  21. comment
    Comment #39083652

    doesn't the basic chunking you are using for splitting documents have any impact on results?

  22. comment
    Comment #39059468

    It's an interesting topic i'm working on at the moment. Given the ones you shared, I figured out additional challenges. Especially for PDF and Office documents, it's really importa…

  23. story
    Does someone have ProductHunt Invite?

    Hi, I'm Nicolò Magnanini the CEO of Pigro. I'm trying to enter with my startup in ProductHunt and i hope to receive an invite. My email is nicolo.magnanini@pigro.ai What is Pigro? …