Building Langchain Agents Using Flowise (Full AI Chatbot Tutorial)

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  • Опубліковано 31 лип 2024
  • In this full Langchain tutorial, I'll be building a Langchain agent using Flowise from start to finish. I will show you everything you need to know to build any AI Agents yourself using Flowise and Langchain. We will build an AI Customer Support Agent Bot from start to finish together, so you can do it yourself easily.
    Watch this video until the end to learn all the Ins and Outs of using Flowise, Langchain and to learn how to build any kind of AI Chatbot yourself for nearly free. Use this Tutorial to build AI customer Support, AI Appointment setting, AI Lead qualification Bot, or any other AI Agent that comes to mind.
    If you enjoyed this content, please leave a like and subscribe to the channel for more 🙌
    Want us to build much more sophisticated Agents for your business?
    👀 Work With Us Here: omnifusion.ai/
    ------------------------------------
    ⚙️ Tools you need:
    👉 Flowise: flowiseai.com/
    👉 Our FREE RESOURCE HUB & Skool Community: www.skool.com/omnifusion
    ------------------------------------
    For you:
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    Timestamps:
    0:00 Why Langchain Agents Are Important
    6:16 Langchain Tools and how to use them
    10:20 Langchain Prompt (Flowise System Message)
  • Наука та технологія

КОМЕНТАРІ • 14

  • @OmniFusionAI
    @OmniFusionAI  21 день тому

    🤖 Try Flowise Here: flowiseai.com/
    🤝 Need Custom AI Solution? Work With Us: omnifusion.ai/

  • @DavidCruz-kh5el
    @DavidCruz-kh5el 4 дні тому

    Congrats man, love it the video. I need a help, my chat after some period of time starts to answer text " " empty. I don't have idea why, because was working perfectly. :( I'm using the last Flowise version.

    • @OmniFusionAI
      @OmniFusionAI  3 дні тому

      You are having a normal chat and after some time it gives an empty response? Never seen that before.

  • @josephperkins8766
    @josephperkins8766 11 днів тому

    How can I use an output parser with the tool agent in FL. Is it possible to chain tool agents and LLM chains

    • @OmniFusionAI
      @OmniFusionAI  8 днів тому

      Yes, you can use an output parser with the tool agent in LangChain and chain tool agents with LLM chains. I believe Leon Van Zyl has a good video showing this.

  • @neezamuddinfaayez7234
    @neezamuddinfaayez7234 20 днів тому +1

    Why would i use flowaise when i have VF? What’s the benefit i would enjoy from using this?

    • @OmniFusionAI
      @OmniFusionAI  20 днів тому +2

      These agents allow you to control an entire conversation through just one prompt. For appointment setters, customer support agents and more this is super useful. You are also self-hosted and have more control over the infrastructure behind your AI agent.
      It also allows you to build custom tools, you pay for OpenAI costs directly which is cheaper than going through VF, and many more benefits imo.

    • @user-dt6yi8zr9o
      @user-dt6yi8zr9o 20 днів тому

      Image uploads?

    • @user-dt6yi8zr9o
      @user-dt6yi8zr9o 20 днів тому

      Urgh no auto save though? Thats marks lost surely

    • @user-dt6yi8zr9o
      @user-dt6yi8zr9o 20 днів тому

      I like that. Good video

  • @jessebarbato8730
    @jessebarbato8730 19 днів тому

    👑👑👑

  • @zoltanabonyi3307
    @zoltanabonyi3307 20 днів тому

    Can you build a voicebot in flowise?

    • @OmniFusionAI
      @OmniFusionAI  20 днів тому

      Not as far as I know. Vapi or bland would be better for that. Lmk if you want a video on that 👀

    • @zoltanabonyi3307
      @zoltanabonyi3307 19 днів тому

      @@OmniFusionAI The reason I ask is because Flowise is such a powerful piece of pure open source ai software. You've got so much control. 3rd party providers like Vapi are great solutions, but you're at their mercy. With Flowise you can self host or deploy to a service like Render.