Langflow
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Run Multi-agent Workflows in MINUTES using Langflow Templates
Explore how to build complex multi-agent workflows with Langflow templates.
In this video, you’ll learn about sequential and hierarchical agents and how to leverage Langflow templates to create these advanced setups in minutes. We'll also show several different example mulit-agent flows that you can leverage for travel, newsletters, and other use cases!
🌟 What You’ll Learn:
1️⃣ Sequential Agents:
• Agents that work in a chain, each performing a unique task before passing the results to the next agent.
• Example: Research → Finance Analysis → Editor Agent (e.g., “Should I invest in Tesla stock?”).
• Tools used: Tavili AI, Finance APIs, Calculator Tool.
2️⃣ Hierarchical Agents:
• Orchestrator agents that manage a group of sub-agents.
• Example: Newsletter Agent gathers news via API and generates emails using Composio.
3️⃣ Agent Templates in Langflow:
• Research Agent: Start with a research-based query and gather insights.
• Travel Planning Agent: Collaborate to generate a detailed itinerary.
• Newsletter Agent: Automate research and email creation for your audience.
💻 Key Features:
• Leverage Tool Mode to equip agents with powerful tools.
• Use Langflow templates to quickly customize your workflows.
• Build with OpenAI, Tavili AI, Finance tools, and more.
📥 Resources:
• Langflow Website: langflow.org
• Langflow Cloud: langflow.datastax.com
• oin our Discord Server:discord.gg/EqksyE2EX9
💡 Pro Tip: Run your agents locally or deploy them via Langflow’s API for scalable production workflows.
Let us know if you’ve tried building sequential or hierarchical agents. Share your thoughts in the comments! 🚀
มุมมอง: 948

วีดีโอ

Build an AI-Powered Audio Transcriber with Langflow
มุมมอง 6539 ชั่วโมงที่ผ่านมา
This video demonstrates how to build an AI-based Audio Transcriber flow in Langflow, enabling you to transcribe audio files and extract action items, key ideas, and insights from meetings, lectures, or discussions. 🌟 Highlights of This Tutorial: 1️⃣ Langflow’s Assembly AI Integration: • Explore how to use Assembly AI components in Langflow to transcribe audio files. • Learn to integrate the tra...
🔍 Save Hours of Work with an AI Research Agent! | Try this Langflow Template
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This Langflow tempalte tutorial walks you through building a custom research agent with the built-in Research Agent Template that you can find in both Langflow open source and the cloud version at langflow.datastax.com. With this AI agent, you can: 1️⃣ Perform in-depth research on any topic. 2️⃣ Generate detailed reports with summaries and insights. 3️⃣ Leverage cutting-edge tools like OpenAI a...
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AI agents can help you brainstorm, generate ideas, and build content for any platform. Build an AI agent using Langflow using pre-built templates! In this tutorial, we dive into three powerful examples of content generation workflows in Langflow, designed to streamline your creative tasks. 🌟 What You’ll Learn in This Video: 1. Instagram Copywriter: • Use an AI agent to research topics with Tavi...
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🧠 Build Your First AI Agent with Langflow! Dive into the basics of creating agent-based applications with Langflow. In this tutorial, learn how to set up an agent that uses tools, memory, and large language models to handle complex tasks. Perfect for beginners exploring Langflow’s powerful capabilities! 🌟 What You’ll Learn in This Video: • Tour Agent Components: Discover how agents in Langflow ...
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Build an AI Agent in 5 minutes with Langflow! 🌟 What You’ll Learn in This Video: Tour agent functionality in Langfow How the agent components work Tool Mode - turn anything into an agentic tool Test your agent in the Playgound Deploy your AI agent with the Langflow API 🔗 Resources: -Langflow GitHub: bit.ly/langflow_repo -Langflow Discord: bit.ly/langflow-discord -Try Langflow: Langflow.org - Tr...
📄 Website Docs Reader AI Agent with Langflow: Your Ultimate Documentation Assistant
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Turn documentation websites into interactive tools with the Website Docs Reader Agent! This Langflow flow template extracts links from any documentation URL and uses them as tools to answer your questions-no vector store required. Perfect for navigating complex docs with ease! 🎁 Download this Template HERE : bit.ly/3BWp4Ed Simply drag it into your Langflow canvas, add your API keys, and get sta...
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Langflow empowers you to implement custom logic by creating new components or enhancing existing ones, tailored to your application's needs. In this video, we’ll guide you through the essential parts of a component and show you how to create your own for optimal functionality. Here's what you'll learn: What Components Are: Understand the building blocks of Langflow. Ingestion PDF Flow: See how ...
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From Basic to Agentic RAG | Use your RAG pipeline as tools in multi-agent pipelines
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ความคิดเห็น

  • @balrajvishnu
    @balrajvishnu 16 ชั่วโมงที่ผ่านมา

    YOur videos and tutorials are awesome, i was able to build some agents with this flow. Is there a tutorial where i can learn how to build standalone apps after building langflow agents. ALso would like to learn more about the inbuilt tools and its usage.

  • @Mixam-256
    @Mixam-256 วันที่ผ่านมา

    You didn’t show a single hierarchical flow. Can Langflow really work with those? I have no success on my end. This is simply prompt chaining.

  • @tarunvenkateshdk8566
    @tarunvenkateshdk8566 2 วันที่ผ่านมา

    How to add message memory to this

  • @123jamalq
    @123jamalq 2 วันที่ผ่านมา

    Can i use the tool for youtube content transcribe

  • @rashidjaved2022
    @rashidjaved2022 2 วันที่ผ่านมา

    Well done, Misbah Bhai. Really informative video 👍

  • @tinybits4u
    @tinybits4u 3 วันที่ผ่านมา

    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.

  • @emilianosanchez1813
    @emilianosanchez1813 3 วันที่ผ่านมา

    Hello! amazing video and i love your content. Thank you for doing this! I couldn't quite find thew newsletter multi agent (hierarchical) on my langflow? I am using the datastax web version. Could you point me in the right direction to find it? Thanks again!

  • @kandukuriadityakumar771
    @kandukuriadityakumar771 4 วันที่ผ่านมา

    After creating Astra DB tool I am having database option after astra db application token and not able to get any api endpoint option and also not able to give the collection name as well,please help meand also please the complete tool description of astra db tool

  • @PaschalOkonkwor
    @PaschalOkonkwor 5 วันที่ผ่านมา

    How can I get the Alter metadata component, can you share the code?

  • @잉여인간-l7q
    @잉여인간-l7q 7 วันที่ผ่านมา

    많은 도움이 됩니다. 항상 감사하게 생각하고 있어요

  • @sivasrinivasamara
    @sivasrinivasamara 8 วันที่ผ่านมา

    How to deploy this agent application to Production? Is there a way to export and run it on application servers?

    • @allansilvera7141
      @allansilvera7141 8 วันที่ผ่านมา

      I would like to as kit as well

    • @samuelmatioli
      @samuelmatioli 6 วันที่ผ่านมา

      Yes, if you a running Langflow on a VM or a Docker container, you can export the flow and import on another Langflow instance. It is great topic for another video! Thank you!

  • @leonardocosta6038
    @leonardocosta6038 9 วันที่ผ่านมา

    These templates are great for learning how Langflow work, really helpful. Thank you!

  • @pratikbhangale1759
    @pratikbhangale1759 9 วันที่ผ่านมา

    How have you connected the backend to frontend? Would like to see more videos on how to use it with websites and streamlit at least.

  • @Nezakka2
    @Nezakka2 10 วันที่ผ่านมา

    For 'DS Astra DB : find_flights' I'm a little lost regarding how you set the tool params. The left hand side seems to correspond to the table. The 'Customer ID' is in the prompt node. However, I don't understand how you set the arrivalAirport (Destination airport) and departureAirport (Departure airport). That is to say the right hand side of the first two params? Could you please help clarify?

    • @samuelmatioli
      @samuelmatioli 6 วันที่ผ่านมา

      In the "Tool params" section on the left, you will put the attribute's name from the collection you will query. On the right is the description of this attribute so the model can "understand" how to use the parameter.

  • @raphaelrodrigues8740
    @raphaelrodrigues8740 11 วันที่ผ่านมา

    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?

  • @kofiaddaquay
    @kofiaddaquay 11 วันที่ผ่านมา

    Been trying to install all day locally. keep getting dependency resolver issues. flowise was so easy to install locally, langflow has been a pain the butt. render and railway keep failing as well when you trying to build with the cloud... !

  • @jdoejdoe6161
    @jdoejdoe6161 11 วันที่ผ่านมา

    How can we grab specific data such as name, email, phone number etc and store in a db or convert to json for use in other app during QA?

  • @jdoejdoe6161
    @jdoejdoe6161 11 วันที่ผ่านมา

    How can we grab specific data such as name, email, phone number etc and store in a db or convert to json for use in other app during QA?

  • @growmate_io
    @growmate_io 11 วันที่ผ่านมา

    @langflow how to create agents at scale? If I want to create multiple agents for multiple companies and manage them simultaneously, I need to create an structure for each client and maintain that?

  • @FarisandFarida
    @FarisandFarida 12 วันที่ผ่านมา

    This is awesome 👏. Thank you. Would have loved to see how you made that connection to gmail with composio. And please consider a more structured from beginner to advanced level tutorials . 🎉

  • @timroberts3258
    @timroberts3258 12 วันที่ผ่านมา

    I just tested the product - but.... the Chat Widget HTML does not appear as an option for the API </> (on the cloud hosted version LangFlow?), unlike in the video. How do you expect "lo code" people to deploy the chat bot without a simple or JS embed, like most other AI chat builders do? Curious about the customer strategy here...

  • @dheerajdubey1589
    @dheerajdubey1589 12 วันที่ผ่านมา

    When using groq as the model provide for the agent, it is giving out error of api, whereas same thing works very well in RAG template.

  • @pradip_suvram283
    @pradip_suvram283 12 วันที่ผ่านมา

    Would be awesome if you guys can add another canned template about Agentic RAG 🎉

  • @samhaun3929
    @samhaun3929 12 วันที่ผ่านมา

    That seems like alot of manual code changes for something that's supposed to be a GUI platform.

    • @samuelmatioli
      @samuelmatioli 4 วันที่ผ่านมา

      Langflow is a low-code application that provides the components projects need while allowing users to implement their own custom logic if necessary. It would be impossible to cover all the possibilities...

  • @ammarparmr
    @ammarparmr 13 วันที่ผ่านมา

    Thanks! How to use my local Llama model as an agent?

    • @Langflow
      @Langflow 12 วันที่ผ่านมา

      Yes, you can use the Llama component to connect it to your agent flow.

  • @samhaun3929
    @samhaun3929 13 วันที่ผ่านมา

    Why does the URL component not stay connected to the agent and in tool mode? Even if I change it like you do in the video and it says Saved at the top, it reverts back if I refresh the page. I'm guessing it would do the same if I closed the browser and server and restarted.

    • @rodrigosilvanader
      @rodrigosilvanader 10 วันที่ผ่านมา

      That seems to be a bug - being fixed! Thanks.

    • @samhaun3929
      @samhaun3929 9 วันที่ผ่านมา

      @rodrigosilvanader is there a link or issue number for the GitHub issue? Also, when would it be rolled into the next release?

  • @kbj2ee
    @kbj2ee 14 วันที่ผ่านมา

    How do I create a custom component that uses a new Python library in the LangFlow cloud environment?

    • @FarisandFarida
      @FarisandFarida 12 วันที่ผ่านมา

      I just feed the docs with some good examples to claude and tell it what i am looking to achieve and voila. Not knowing coding is not too much of a barrier these days fortunately. Upside for those who know coding is the understand the code

  • @nilo_river
    @nilo_river 14 วันที่ผ่านมา

    Looks like a perfect tool. Nice work!

  • @samuelmacaluso3367
    @samuelmacaluso3367 15 วันที่ผ่านมา

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

  • @thequickstartcreative
    @thequickstartcreative 15 วันที่ผ่านมา

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

    • @samuelmacaluso3367
      @samuelmacaluso3367 15 วันที่ผ่านมา

      You literally just hook up more than one

    • @thequickstartcreative
      @thequickstartcreative 14 วันที่ผ่านมา

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

  • @hipotures
    @hipotures 15 วันที่ผ่านมา

    Thanks! But, when new release? :)

  • @ammarparmr
    @ammarparmr 15 วันที่ผ่านมา

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

  • @Cypher_Byte
    @Cypher_Byte 15 วันที่ผ่านมา

    10:40 Astra DB JSON missing in tools section. Can you provide solution, please?

    • @samuelmatioli
      @samuelmatioli 6 วันที่ผ่านมา

      Hi. Depending on the version you are using, it is the "Astra DB" component under tools. We renamed it and I used the updated version in the recording.

    • @Cypher_Byte
      @Cypher_Byte 5 วันที่ผ่านมา

      @@samuelmatioli Thanks for reply

  • @DavidIbe-q2z
    @DavidIbe-q2z 15 วันที่ผ่านมา

    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.

  • @SolhemsFasan-f1t
    @SolhemsFasan-f1t 15 วันที่ผ่านมา

    Great and informative video. Good work!

  • @chkbalajimirthipati
    @chkbalajimirthipati 17 วันที่ผ่านมา

    @langflow, the link is not working, please check

  • @watvki
    @watvki 17 วันที่ผ่านมา

    Great video, I would love to see more tutorials and documentation about customizing components.

  • @pavelglebov9528
    @pavelglebov9528 17 วันที่ผ่านมา

    Components of the telegram bot, receives messages from the telegram bot, and sends processed responses to Telegram.

  • @AdamPaulTalks
    @AdamPaulTalks 18 วันที่ผ่านมา

    Hey Misbah and Rodrigo! I've been marketing online since 2007 and I have several big projects that I'm trying to crack with Langflow. The #1 thing I keep running into is a lack of documentation on each individual component. For example, I'm loading a massive CSV into DataStax Vector Store, and I need to embed each row as it's own chunk. Not overly complicated - in theory... but I cannot find any support for the LangChain CSVAgent other than the parameters in the docs. The only tool I have for walking me through this is hovering next to the "Text" input's question mark and trying to decipher what "Text to be passed as input and extract info from the CSV file" means. This is where I normally pass it on to my developers, which is opposite of what you guys are going for :) The second, from a production perspective, is integrating LangFlow with the front end of our applications. There is a community StreamLit component bundle which is very appealing but requires learning StreamLit. At the same time, we've built prototypes in no-code front ends like bolt.new and loveable.dev. The chat UI embed is an option but I'd much rather integrate it directly into my app and host them both on the same Google Cloud (where I currently have LangFlow). Webhooks are an option but it would be really great to have a Bolt.new/lovable.dev/the millions of others that are pumping right now. I think if you create components that integrate to all of those, you'll get a LOT of eyes on LangFlow so it's a win/win for everyone. I would love to talk to you both about the apps we are building, and how we can use LangFlow to make them happen. How do I contact you?

  • @fbiotech
    @fbiotech 18 วันที่ผ่านมา

    A connector to zotero

  • @fbiotech
    @fbiotech 18 วันที่ผ่านมา

    Perhaps it could be useful to have also a component able to interact with paperqa in order to deal with scientist publication

  • @fbiotech
    @fbiotech 18 วันที่ผ่านมา

    And a component able to take emails as input.

  • @fbiotech
    @fbiotech 18 วันที่ผ่านมา

    It will be very useful to have a component that is able to take as input an audio or video files in order to have a pipeline to speech to text.

    • @samuelmatioli
      @samuelmatioli 18 วันที่ผ่านมา

      We are working on things to deal with audio. Video will be next.

    • @HeicoSindel
      @HeicoSindel 17 วันที่ผ่านมา

      @@samuelmatioliis it also possible to create audio files (tts)? And store them in a (shared ) directory or send it back if the Flow will be called via API?

  • @ammarparmr
    @ammarparmr 18 วันที่ผ่านมา

    Thanks Great content, however, you are a little bit fast

    • @samuelmatioli
      @samuelmatioli 18 วันที่ผ่านมา

      Thank you for the feedback. I will try to improve that.

  • @davewilson4427
    @davewilson4427 19 วันที่ผ่านมา

    Two words: Refrigerator magnets! Also neo4j. Good job y'all!

  • @ResilienceRendezvous
    @ResilienceRendezvous 19 วันที่ผ่านมา

    do you teach langflow to beginners. I am interested to learn

  • @cerebrumai
    @cerebrumai 22 วันที่ผ่านมา

    can this workflow be shared

  • @DailyProg
    @DailyProg 23 วันที่ผ่านมา

    What is the difference between langflow and lang graph?

  • @ammarparmr
    @ammarparmr หลายเดือนก่อน

    Thanks! Can I use fine tuned model in langflow?