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Langflow
Brazil
เข้าร่วมเมื่อ 6 มี.ค. 2023
Langflow is a low-code app builder for multi-agent AI, prompting, and RAG
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! 🚀
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! 🚀
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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.
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.
How to add message memory to this
Can i use the tool for youtube content transcribe
Well done, Misbah Bhai. Really informative video 👍
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.
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!
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
How can I get the Alter metadata component, can you share the code?
많은 도움이 됩니다. 항상 감사하게 생각하고 있어요
How to deploy this agent application to Production? Is there a way to export and run it on application servers?
I would like to as kit as well
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!
These templates are great for learning how Langflow work, really helpful. Thank you!
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.
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?
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.
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?
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... !
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?
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?
@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?
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 . 🎉
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...
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.
Would be awesome if you guys can add another canned template about Agentic RAG 🎉
That seems like alot of manual code changes for something that's supposed to be a GUI platform.
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...
Thanks! How to use my local Llama model as an agent?
Yes, you can use the Llama component to connect it to your agent flow.
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.
That seems to be a bug - being fixed! Thanks.
@rodrigosilvanader is there a link or issue number for the GitHub issue? Also, when would it be rolled into the next release?
How do I create a custom component that uses a new Python library in the LangFlow cloud environment?
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
Looks like a perfect tool. Nice work!
We need state management! Its built into flowise and i can leave til yall put it in!
You designed the agent with one tool. How do you configure it where it has multiple tools to choose from?
You literally just hook up more than one
@samuelmacaluso3367 thank. I search another video and saw how easy it was. Really cool.
Thanks! But, when new release? :)
Thanks!! How to use our local ollama model as an agent?
10:40 Astra DB JSON missing in tools section. Can you provide solution, please?
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.
@@samuelmatioli Thanks for reply
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.
Great and informative video. Good work!
@langflow, the link is not working, please check
Great video, I would love to see more tutorials and documentation about customizing components.
Components of the telegram bot, receives messages from the telegram bot, and sends processed responses to Telegram.
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?
A connector to zotero
Perhaps it could be useful to have also a component able to interact with paperqa in order to deal with scientist publication
And a component able to take emails as input.
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.
We are working on things to deal with audio. Video will be next.
@@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?
Thanks Great content, however, you are a little bit fast
Thank you for the feedback. I will try to improve that.
Two words: Refrigerator magnets! Also neo4j. Good job y'all!
😄
do you teach langflow to beginners. I am interested to learn
can this workflow be shared
What is the difference between langflow and lang graph?
Thanks! Can I use fine tuned model in langflow?