6 Langchain Document Loaders to Master (Beginner Friendly)

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  • Опубликовано: 14 фев 2024
  • In this video we are covering 6 different langchain document loaders. They range from text documents to pdfs to html code. Doc readers are a very important step when creating more complex LLMs that utilize RAG.
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Комментарии • 7

  • @sanjaypranav8481
    @sanjaypranav8481 5 месяцев назад +1

    Underrated 🥺video

  • @HarishKumar-uy2gp
    @HarishKumar-uy2gp 3 месяца назад

    do .doc file is supported by langchain?

    • @spinze
      @spinze Месяц назад

      was wondering the same thing

    • @HarishKumar-uy2gp
      @HarishKumar-uy2gp Месяц назад

      @@spinze Looks like it won't. It supports only .docx format.

    • @spinze
      @spinze 18 дней назад

      @@HarishKumar-uy2gp actually, I think it does. I used the unstructured package which has support for .doc and .docx as well