How to Build a Recommendation System with AI and Semantic Search

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  • Опубліковано 26 лис 2024

КОМЕНТАРІ • 14

  • @nair38
    @nair38 Рік тому +3

    Was very easy to follow and code worked beautifully on Replit. Great job, Adam

    • @itsajchan
      @itsajchan Рік тому

      Thanks @nair38, super happy to hear you had a good time following this Weaviate project!

  • @henkhbit5748
    @henkhbit5748 Рік тому +2

    Great video about weaviate and recommendation system.
    A video about RAG using open source llm like mistral and langchain in a local setting (using docker) would be very helpfull!

  • @nogueirad
    @nogueirad Рік тому +3

    Great! Really easy to build with Weaviate

    • @AdamChan-kt9zk
      @AdamChan-kt9zk Рік тому

      Thanks! It's super easy to build with Weaviate!

  • @ersineser7610
    @ersineser7610 10 місяців тому +2

    Thank you very much for sharing.

  • @ecardenas300
    @ecardenas300 Рік тому +2

    Awesome intro and demo!

    • @AdamChan-kt9zk
      @AdamChan-kt9zk Рік тому

      Thanks! In the next video, I'll show off Weaviate Embedded which will reduce friction even further in the early stages of using Weaviate :D

  • @hellojeezai
    @hellojeezai 10 місяців тому +1

    You guys are great!

  • @connor-shorten
    @connor-shorten Рік тому

    Awesome demo!!

  • @rickr937
    @rickr937 Рік тому +13

    Nice, but this is not a recommendation system at all. This is a frontend for a search system.

  • @Cdaprod
    @Cdaprod Рік тому +2

    Thanks!