How to Add Conversational Memory to an LLM Using LangChain | Vector Database Fundamentals

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  • Опубліковано 4 гру 2024

КОМЕНТАРІ • 12

  • @kolaynez
    @kolaynez Рік тому +1

    this video is very helpful, thank you. I was upset because of the vector dbs. I will check if I will be able to use the cloud version and buy the paid plan if I am successful

    • @yujiantang
      @yujiantang Рік тому

      glad you found it helpful!

  • @ManiSaintVictor
    @ManiSaintVictor 11 місяців тому

    Thanks for the great information! What does you mean by “to manage utility”?

  • @pec8377
    @pec8377 7 місяців тому

    How would you replace ConversationChain with LCEL ? Seems impossible

  • @karlfriman
    @karlfriman Рік тому

    OpenAi embeddings only output Cosine. Milvus has GPU support but only for L2 and IP (not for Cosine) from what I understand? Is there another provider that can output L2 or IP other than openAI? Or does that not make sense to use a GPU for text, is that more intended for images and audio?

    • @MilvusVectorDatabase
      @MilvusVectorDatabase  Рік тому

      Milvus 2.3 has cosine similarity metrics
      This is a good read zilliz.com/learn/choosing-right-vector-index-for-your-project

    • @karlfriman
      @karlfriman Рік тому

      @@MilvusVectorDatabase yes but with cosine that would be without GPU support right? As GPU support is only for L2 and IP (not for Cosine)? If that is correct I would need another embeddings system but all I find for text are cosine.

  • @Cuzinz
    @Cuzinz Рік тому

    im using it and its amazing , but im having trouble seperating the memory for each user , any ideas ?

    • @yujiantang
      @yujiantang Рік тому +1

      if you want true separation you'll probably need logical partitions, for functional separation i would suggest just adding the username as a metadata field and filtering on it

    • @Cuzinz
      @Cuzinz Рік тому +1

      @@yujiantang Yeah i made something more crazy that i edited langchain and added my own userid field then released my own version😂, i tried adding metadata field but i couldn't do it manually so i did some wierd stuff till it worked.

    • @yujiantang
      @yujiantang Рік тому

      @@Cuzinz oh but you got it working? i'm curious to see what you did if you wanna share :)

  • @jvprosser
    @jvprosser Рік тому

    It would be nice if the link to the github repo with the code was provided so I could work through it while watching.