Build a RAG based Generative AI Chatbot in 20 mins using Amazon Bedrock Knowledge Base

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  • Опубликовано: 21 янв 2025

Комментарии • 10

  • @rudiemeant3267
    @rudiemeant3267 Месяц назад

    That was extremely helpful, thank you!

  • @jagadeeshyes
    @jagadeeshyes Месяц назад

    This is helpful, thank you

  • @madhusudanahb
    @madhusudanahb 2 месяца назад +1

    What was the format of data that was saved on S3?

    • @awssupport
      @awssupport 2 месяца назад +1

      Hi there! You can find out this answer, as well as gain more understanding of the prerequisites for your Amazon Bedrock knowledge base data, in this doc: go.aws/3OhPoLl. ^ES

    • @madhusudanahb
      @madhusudanahb 2 месяца назад

      @@awssupport Thank you .. got this

    • @arielgr92
      @arielgr92 9 дней назад

      Supported Formats Include:
      Plain text (ASCII only) .txt
      Markdown .md
      HyperText Markup Language .html
      Microsoft Word document .doc/.docx
      Comma-separated values .csv
      Microsoft Excel spreadsheet .xls/.xlsx
      Portable Document Format .pdf

  • @GodPlayer-Diva
    @GodPlayer-Diva 6 дней назад

    Hi supporter, In step choosing Vertor Database in knowledge base ( Bedrock), How i'm can choose my domain when i'm created Amazon OpenSearch Service.

  • @rwf76
    @rwf76 Месяц назад +1

    So I have the knowledge base and can test it, but how do I actually create the chatbot.
    You just stop and say use the APIs
    Is there a video to show how to do this.

    • @Aj-Cast
      @Aj-Cast 14 дней назад

      The title is misleading, it should have been how to create knowledge base