Build a RAG in 10 minutes! | Python, ChromaDB, OpenAI

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  • Опубликовано: 28 сен 2024

Комментарии • 9

  • @saulyarhi675
    @saulyarhi675 Месяц назад +2

    Insane. Clean code and well explained 🎉

    • @TomsTechAcademy
      @TomsTechAcademy  Месяц назад

      Thank you for your comment, glad to hear you like my video :)

  • @viveksuryavanshi6165
    @viveksuryavanshi6165 Месяц назад +1

    Thanks. i like doing it with Langchain and LCEL chains.

  • @_brutucas
    @_brutucas Месяц назад

    Hi Thomas, you've gained a subscriber with this video - I echo the other comments. Clean code, well-explained, simplified a more complex coding topic. Thanks so much for this great quality content.

    • @TomsTechAcademy
      @TomsTechAcademy  Месяц назад

      Thank you so much for your kind words! Happy coding 👨‍💻😀

  • @jamiewilkinson3805
    @jamiewilkinson3805 Месяц назад

    Great video man alot easier to follow then the other ones :) any idea how to increase the batch size though becuase collection.upsert(...) is giving error Batch size 25369 exceeds maximum batch size 5461.

    • @TomsTechAcademy
      @TomsTechAcademy  Месяц назад

      Hi Jamie, something worth trying: loop through the chunked text and try to add (collection.upsert()) smaller batches. You could even add collection.upsert() directly into the loop. Performance wise not the best, but you only have to run it once :)