AI Agent Basics with Langflow

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  • Опубликовано: 26 янв 2025

Комментарии • 11

  • @nilo_river
    @nilo_river 15 дней назад +1

    Looks like a perfect tool. Nice work!

  • @SolhemsFasan-f1t
    @SolhemsFasan-f1t 16 дней назад

    Great and informative video. Good work!

  • @DavidIbe-q2z
    @DavidIbe-q2z 16 дней назад +1

    Excellent, please provide us with a detailed tutorial of tutorial on langflow, how to use each feature set will be very helpful. Thanking you in advance.

  • @ammarparmr
    @ammarparmr 16 дней назад

    Thanks!!
    How to use our local ollama model as an agent?

  • @hipotures
    @hipotures 16 дней назад +2

    Thanks! But, when new release? :)

  • @samuelmacaluso3367
    @samuelmacaluso3367 16 дней назад +1

    We need state management! Its built into flowise and i can leave til yall put it in!

  • @raphaelrodrigues8740
    @raphaelrodrigues8740 12 дней назад

    In the beginning, the use of "Memory" was cited. This is an essential feature since CrewAI agents put some historical context on the agent. I haven't seen this yet in this new component. Could you let me know if anyone knows about how to achieve it?

  • @tinybits4u
    @tinybits4u 4 дня назад

    How to use "custom" as the value in the language model field? I tried choosing custom and using ollama as the model but it throws an exception. So wanted to understand 1) How to use that custom field? 2) Is there any way to use ollama model as the language model in the Agent.

  • @thequickstartcreative
    @thequickstartcreative 16 дней назад

    You designed the agent with one tool. How do you configure it where it has multiple tools to choose from?

    • @samuelmacaluso3367
      @samuelmacaluso3367 16 дней назад +1

      You literally just hook up more than one

    • @thequickstartcreative
      @thequickstartcreative 15 дней назад +1

      @samuelmacaluso3367 thank. I search another video and saw how easy it was. Really cool.