Deepset's Haystack 2.0: End-to-End LLM Pipelines for RAG Applications

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  • เผยแพร่เมื่อ 21 ธ.ค. 2024

ความคิดเห็น • 5

  • @潘柏戎
    @潘柏戎 11 หลายเดือนก่อน +2

    Thank you so much for this clear explanation of Haystack 2.0! Helped a lot with my internship work

  • @josh2310
    @josh2310 5 หลายเดือนก่อน

    Thank you very much for providing historical context, to me this is one of the most important aspects of learning about new tech, and understanding where, how, and why it fits in.

    • @AI-Makerspace
      @AI-Makerspace  5 หลายเดือนก่อน

      💯we couldn't agree more!

  • @AI-Makerspace
    @AI-Makerspace  ปีที่แล้ว +4

    Building blocks in Haystack: Data classes: colab.research.google.com/github/PacktPublishing/Building-Natural-Language-Pipelines/blob/main/ch3/jupyter-notebooks/data_classes.ipynb
    Building blocks in Haystack: Components and Pipelines: Building blocks in Haystack: colab.research.google.com/github/PacktPublishing/Building-Natural-Language-Pipelines/blob/main/ch3/jupyter-notebooks/components.ipynb
    Slides: www.canva.com/design/DAF1l8YMyyA/yNy4jsN9yUZq7IS_HNo4LQ/edit?DAF1l8YMyyA&

  • @tomashorych394
    @tomashorych394 ปีที่แล้ว

    That's really exciting. Thank you for sharing!