The RAG Visual Breakdown - The Ultimate guide to building powerful LLM pipelines!

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  • เผยแพร่เมื่อ 24 ต.ค. 2024

ความคิดเห็น • 9

  • @foramjoshi3699
    @foramjoshi3699 2 วันที่ผ่านมา +1

    I love the clarity of the video, and the diagrams really helped me understand the concept better!!! Thank you, AVB, and please keep the videos coming.

  • @TheShreyas10
    @TheShreyas10 วันที่ผ่านมา

    Quite an insightful video, would be glad if you create a playlist explaining all these tools and methods individually if that works or in a better fashion. However, a highly insightful video, thanks :)

  • @sivi3883
    @sivi3883 2 วันที่ผ่านมา +1

    Looking forward to the RAG series considering POC RAG is easier and Production quality grade RAG is a whole different animal. Can't agree more on a separate video just for the research on pure vector database like Milvus vs RDMS vector feature enabled like PostgreSQL PGvector Vs no-sql vector feature enabled like elastic search vs graph database like neo4j!!!
    I am grateful to find your channel. Keep up your clarity in the diagrams and the choice of words in your explanation!!! Awesome work!

  • @mbpiku
    @mbpiku 2 วันที่ผ่านมา

    Thanks for creating this. ❤

    • @avb_fj
      @avb_fj  วันที่ผ่านมา

      Thanks, glad you enjoyed it!

  • @aumvyas
    @aumvyas 2 วันที่ผ่านมา

    Surfed the entire TH-cam but couldn't find a more visual and easier explaination for RAGs. I would like you to continue this RAG video series and explore more on the subdomains of Agentic RAG and RAGs in production.
    Big ups brother🎉

    • @avb_fj
      @avb_fj  2 วันที่ผ่านมา +1

      A RAG Series is exactly what I had in my mind too. Thanks for the feedback!

  • @OmKale-h6r
    @OmKale-h6r 2 วันที่ผ่านมา

    Good work bro. Keep it up 💪
    I would suggest you to create proper playlist of these

    • @avb_fj
      @avb_fj  2 วันที่ผ่านมา

      Thanks! I definitely need to improve my playlists. I do have some already that you can see from my channel page: www.youtube.com/@avb_fj/playlists
      Feel free to suggest improvements. :)