Langflow
Langflow
  • Видео 61
  • Просмотров 165 891
Build an AI Agent in MINUTES with Langflow, NoSQL Astra DB, and OpenAI for Flight Information
In this video, Samuel Matioli from Langflow demonstrates how to create an AI Agent application that retrieves real-time flight information using advanced agent tools. By leveraging a JSON collection and a structured table from Astra DB, you'll learn how to seamlessly connect your AI agents to large datasets.
For professional-grade applications, connecting agents to databases that handle vast amounts of transactional data is crucial. With Langflow 1.1's latest features-Astra DB JSON and Astra DB CQL-integrating large language models (LLMs) with transactional data has never been easier.
Discover how to build smarter, data-driven AI applications with these powerful tools!
🔗 Explore DataStax Lan...
Просмотров: 3 007

Видео

From Basic to Agentic RAG | Use your RAG pipeline as tools in multi-agent pipelines
Просмотров 2,9 тыс.21 день назад
Agentic RAG (Retrieval-Augmented Generation) is when agents are used to improve retrieval quality, make query and context decisions, and reason over or refine retrieval results for more intelligent workflows. In this video, Misbah Syed, AI Builder and Educator, shows you how to use Langflow to implement Agentic RAG (Retrieval-Augmented Generation) from a basic RAG workflow. In this example, Lan...
Build an Agentic RAG AI app with Langflow
Просмотров 1,9 тыс.21 день назад
In this Livestream video, we talk about Agentic RAG and demonstrate this in Langflow 1.1, a low code, visual AI builder for multi-agent and RAG (retrieval augmented generation) applications. Join Rodrigo Nader, co-founder of Langflow, with Misbah Syed as they show you how to create a new era of agentic workflows ! RESOURCES: Langflow GitHub: bit.ly/langflow_repo Langflow Discord: bit.ly/langflo...
Langflow 1.1 deep dive - Multi-agent components, Tool Mode, and more!
Просмотров 3,6 тыс.Месяц назад
In this Livestream video, we give you a deep dive into Langflow 1.1, ushering in a new native agentic framework, components, templates, and more! Join Rodrigo Nader and Gabriel Almeida, founders of Langflow, along with Misbah Syed as they show you how to create a new era of multi-agent workflows and applications! RESOURCES: Langflow GitHub: bit.ly/langflow_repo Langflow Discord: bit.ly/langflow...
Building an AI-Powered Newsletter Generator with LangFlow 1.1 | Demo & Tutorial
Просмотров 2 тыс.Месяц назад
In this video, we explore Insight Express, an AI-powered app built using LangFlow 1.1, that generates comprehensive insights and newsletters on any topic by leveraging advanced AI agents. Follow along to learn how to build your own! Repo Link: github.com/misbahsy/InsightExpress Timestamps: 0:00 - Introduction: Overview of Insight Express and its capabilities. 0:14 - How It Works: Generating ins...
How to Use Assembly AI in Langflow for Automated Transcription and More!
Просмотров 1,2 тыс.3 месяца назад
In this video, we explore how to integrate Assembly AI with Langflow to automate transcription tasks and more. Learn how to convert speech to text, work with transcript data, and generate subtitles in various formats. Whether you're working with audio files or looking to create summaries or blog posts, this step-by-step guide will show you how to set up and use key components in Langflow with A...
Implementing a ReAct Agent in Langflow: Step-by-Step Guide
Просмотров 1,1 тыс.3 месяца назад
In this tutorial, we'll explore how to implement the ReAct Agent technique in Langflow, inspired by the concept from a research paper. We’ll walk through the reasoning process, tool usage, and code implementation, showing you how to integrate the ReAct Agent component with tools like Python REPL. Follow along to see how the agent reasons, acts, and delivers results using Langflow’s capabilities...
Extracting Data with Unstructured.io: Step-by-Step Langflow Integration
Просмотров 1,5 тыс.3 месяца назад
In this tutorial, we explore how to utilize the Unstructured.io API to extract data from various file types and integrate it with Langflow. Watch as we walk through getting API keys, setting up the Unstructured component, and processing a PDF file to extract titles, images, and text. ⏰ Timestamps: 00:00 - Introduction to Unstructured.io 00:09 - Overview of file types supported 00:17 - Accessing...
Supercharge Your LLM Workflow Monitoring: Integrating Langfuse with Langflow
Просмотров 1,2 тыс.3 месяца назад
Learn how to seamlessly integrate Langflow, an open-source flow-based LLM interface, with Langfuse, an open-source LLM engineering platform. This tutorial demonstrates how to set up comprehensive monitoring and tracing for your Langflow projects using Langfuse. Timestamps: 0:00 - Introduction to Langfuse and its features 0:34 - Setting up Langfuse: Creating a project and accessing API keys 0:55...
Beyond Basic RAG
Просмотров 1,1 тыс.3 месяца назад
Livestream event that covered : - RAG Fundamentals: We'll start with a basic RAG system breakdown, illustrating how it retrieves text chunks based on keyword matches. - Defining Relevance: Discover the importance of relevance in RAG, understanding it as the likelihood of a text chunk directly answering your query. - The Power (and Limitations) of Similarity: We'll explore semantic search, a pow...
Boost Your RAG App Performance: Rewrite, Retrieve, Read Technique Explained
Просмотров 7793 месяца назад
Discover how to enhance your Retrieval-Augmented Generation (RAG) applications with the "Rewrite, Retrieve, Read" technique. This video breaks down the process and demonstrates implementation using Langflow. Timestamps: 0:00 - Introduction to RAG app performance improvement 0:23 - Traditional retrieve-then-read approach 0:41 - Rewrite, retrieve, read technique explained 1:20 - Benefits of query...
Self-Ask Agent: Breaking Down Complex Questions with AI
Просмотров 7713 месяца назад
Explore the Self-Ask Agent technique, an AI implementation that breaks down complex questions through self-questioning. Learn how this Langflow-based component works and see it in action with a practical example. Timestamps: [00:00:00] Introduction to Self-Ask Agent [00:00:15] Prompt Template Explanation [00:00:35] Implementation Details [00:00:54] Running the Flow [00:01:18] Example: U.S. Open...
OpenAI Functions Agent in Langflow: Supercharge Your AI Tools
Просмотров 1,1 тыс.3 месяца назад
Leverage the power of OpenAI Functions Agent in Langflow to create more dynamic and capable AI applications. This tutorial walks you through the setup, customization, and practical use of this powerful tool. 0:00 - Introduction to OpenAI Functions Agent 0:29 - Importing and setting up the agent in Langflow 0:57 - Customizing the agent with prompts and tools 1:21 - Important setup tips and consi...
Skeleton of Thought: Faster, More Efficient AI Text Generation
Просмотров 4653 месяца назад
Discover the "Skeleton of Thought" technique for AI text generation, based on a 2024 ICLR paper. This video explains how this method mimics human writing processes to create more efficient and faster AI-generated content compared to traditional sequential methods. Learn how to implement this technique using Langflow, with step-by-step explanations of the prompt engineering process and parallel ...
Utilizing XML Output in Langflow: Easy Tool Usage and Formatted Responses
Просмотров 4794 месяца назад
Discover how to use LLMs for XML formatting in Langflow with this short tutorial. Learn to: 0:00 - Introduction to XML output in Langflow 0:30 - Use the XML agent for tool utilization 1:00 - Generate responses with XML tags 1:29 - Leverage Wikipedia API through the model 1:51 - Create XML-formatted blog posts 2:41 - Explore alternative output formats (JSON, Markdown) A walkthrough on how to use...
Analyze CSV Data Effortlessly with Langflow: Quick Demo Using Titanic Dataset
Просмотров 1,5 тыс.4 месяца назад
Analyze CSV Data Effortlessly with Langflow: Quick Demo Using Titanic Dataset
Build and Deploy AI MVPs: Streamlit and Langflow Tutorial
Просмотров 2,1 тыс.4 месяца назад
Build and Deploy AI MVPs: Streamlit and Langflow Tutorial
How to Run Tasks in Parallel: A Step-by-Step Guide to Using Runnable Parallel in Langflow
Просмотров 6434 месяца назад
How to Run Tasks in Parallel: A Step-by-Step Guide to Using Runnable Parallel in Langflow
How Multi-Query RAG Can Improve Data Retrieval & Response
Просмотров 1,9 тыс.4 месяца назад
How Multi-Query RAG Can Improve Data Retrieval & Response
AI Calendar Scheduling Agent - CrewAI, Composio, and Langflow
Просмотров 3,5 тыс.4 месяца назад
AI Calendar Scheduling Agent - CrewAI, Composio, and Langflow
Langflow Store: Explore, Install, and Share Community Flows & Components!
Просмотров 6834 месяца назад
Langflow Store: Explore, Install, and Share Community Flows & Components!
Build Your Own AI Companion in Langflow: Step-By-Step Guide! (Bonus: Fine-tune Prompt w/ Cohere)
Просмотров 9304 месяца назад
Build Your Own AI Companion in Langflow: Step-By-Step Guide! (Bonus: Fine-tune Prompt w/ Cohere)
Building a RAG app using Cohere LLM, Embedding, and Reranker in Langflow
Просмотров 1,3 тыс.4 месяца назад
Building a RAG app using Cohere LLM, Embedding, and Reranker in Langflow
Easiest Web Scraping: Using LLMs to Analyze Any Webpage! Cohere & Firecrawl
Просмотров 1,8 тыс.4 месяца назад
Easiest Web Scraping: Using LLMs to Analyze Any Webpage! Cohere & Firecrawl
How to use Cohere LLM in Langflow
Просмотров 2044 месяца назад
How to use Cohere LLM in Langflow
Desafio 3 - Criação de Agentes com Langflow 🤖
Просмотров 9615 месяцев назад
Desafio 3 - Criação de Agentes com Langflow 🤖
How to Call 100s of AI Models with One API - Langflow and AI/ML API
Просмотров 9595 месяцев назад
How to Call 100s of AI Models with One API - Langflow and AI/ML API
Make sure your LLM app speaks just the way you want!
Просмотров 3885 месяцев назад
Make sure your LLM app speaks just the way you want!
Langflow How-To: Change and Compare LLMs and Model Providers
Просмотров 6035 месяцев назад
Langflow How-To: Change and Compare LLMs and Model Providers
Langflow How-To: Using the Canvas and Components Workspace
Просмотров 7955 месяцев назад
Langflow How-To: Using the Canvas and Components Workspace

Комментарии

  • @ammarparmr
    @ammarparmr 5 дней назад

    Thanks! Can I use fine tuned model in langflow?

  • @zandanshah
    @zandanshah 6 дней назад

    can you help, error > Preparing metadata (pyproject.toml) ... error

  • @daniel_bartosiewicz
    @daniel_bartosiewicz 6 дней назад

    OK, let's be honest now - it doesn't work like that, "Go there", "Copy this", "Click that", "Boom, you're done". I followed these steps exactly, and I encountered an error to which is still don't have a solution. I'm not a developer and since this is an open source low code tool I thought I don't need to be one - isn't it the whole premise of low code tools? For one that's not spent the last 15 years coding to be able to create apps? On my end, when I'm trying to install Langflow locally, I have an error that says that I don't have something called "distutils" that I can't install and that I actually don't need as it was upgraded and replaced. Yet still, package installation doesn't work like you showed.

  • @daniel_bartosiewicz
    @daniel_bartosiewicz 6 дней назад

    A link to repo would be nice

  • @stefano94103
    @stefano94103 9 дней назад

    Tool does not exist

  • @aireferat
    @aireferat 10 дней назад

    you can run with docker, ollama and open web ui for just chat, for building with langflow you need to follow video

  • @HasanMoni-q2g
    @HasanMoni-q2g 10 дней назад

    fantastic tutorial. need more end to end project using LangFlow

  • @TheReneporto190
    @TheReneporto190 13 дней назад

    I encountered numerous challenges while attempting to install this tool, primarily due to persistent issues with Python dependencies. Despite following various tutorials and troubleshooting guides, every solution seemed to lead to another error or conflict. After two weeks of repeated efforts, frustration set in, and I ultimately decided to abandon the installation on my machine.

  • @lukevincent4141
    @lukevincent4141 14 дней назад

    1) How do you output a text file of the transcript with the speakers? You have the raw text, but it's not associated with the speakers. 2) What do you do with the LeMur output. It's a data node, so you can't easily get an answer to your question.

  • @wwmdevagent007
    @wwmdevagent007 15 дней назад

    I'm working on adding the ability to send emails to my agent and I see you are using Composio - when I take a look at Composio for their Gmail tools they have 'Gmail_beta' - is that what you are using in your video?

  • @ajithkumar2216
    @ajithkumar2216 16 дней назад

    Hi Samuel, Thanks for your video. I am very new to langflow. Can we use langflow for commercial product development? Is that completly free to use for companies build products?

    • @samuelmatioli
      @samuelmatioli 13 дней назад

      Hi. Langflow is an open-source software, so you can use it for free.

  • @ikehaakmeester9070
    @ikehaakmeester9070 17 дней назад

    Good Afternoon , thank you for the videos , very educational, i wanted to ask how you can build a feature that generates a pdf of the information you asked the agent.

    • @samuelmatioli
      @samuelmatioli 13 дней назад

      For example, we can do that with a Python library that converts Markdown to PDF. It is an interesting use case, and I will investigate it for a new video. Thank you!

  • @hungds99
    @hungds99 19 дней назад

    So easy with Langflow

  • @cgf-ec
    @cgf-ec 19 дней назад

    Hi Samuel, thanks for this clear guide. Just one question, I have LF 1.1.1 but I don't see the "Astra DB JSON" component. I can't find it in the store either. Any hints about how to get it?

    • @samuelmatioli
      @samuelmatioli 18 дней назад

      Correct. It is named "Astra DB", under the "Tools" section in the 1.1.1 version. It will be renamed in the next version.

  • @vitalis
    @vitalis 19 дней назад

    Super interesting. Can you also do a comparison of Langflow vs Flowise, Vectoshift, Dify, Buildship, vs n8n? What the best use case for each? Or they are all similar, except n8n which is more about apps automation?

  • @drnazribajuri8863
    @drnazribajuri8863 20 дней назад

    Great video thanks! Looking forward for the next one

  • @jeremiealcaraz
    @jeremiealcaraz 20 дней назад

    You spoke about your github repository ! Where can you find it? Thank you 🙏

    • @samuelmatioli
      @samuelmatioli 20 дней назад

      We just updated the video description with the repo information.

    • @jeremiealcaraz
      @jeremiealcaraz 20 дней назад

      @@samuelmatioli Thank you so much Samuel !

  • @SteveHarris-mi9ou
    @SteveHarris-mi9ou 21 день назад

    Toward the end of the video I saw you using a tracing tool to view the activity in you project - what did you use to do that?

    • @jeremiealcaraz
      @jeremiealcaraz 20 дней назад

      Same question

    • @samuelmatioli
      @samuelmatioli 20 дней назад

      At 17:16? It is Langsmith. You have to create an account and a project on Langsmith. Then you will have an API_KEY. With that, you have to set 2 environment variables: LANGCHAIN_API_KEY and LANGCHAIN_TRACING_V2. This will send all the tracing data to Langsmith.

    • @samuelmatioli
      @samuelmatioli 20 дней назад

      It is Langsmith. I shared the details on the github repo.

  • @ahmadzaimhilmi
    @ahmadzaimhilmi 22 дня назад

    Is there a way for me to track token usage when calling the LLM?

  • @avida-p9v
    @avida-p9v 22 дня назад

    Hi' great video thanks so much! When adding an LLM component to langflow, I would like the LLM to also search the WEB (similar to the chatGPT offers today). How can I achieve my answer to the user to include info from the web? Thanks!

  • @SamBeera
    @SamBeera 23 дня назад

    Hi what is the difference between an agent and tool component, and when should one change an agent into a tool?

    • @scotttregan
      @scotttregan 22 дня назад

      Hi Sam, an agent component uses a tool to take action, such as invoke an API to send an email or post a calendar invite. In Langflow there are many tools components but you can also turn anything into a tool, such as any prebuilt or custom component, any complete flow or app, or any other agent into a tool. An example might be that you could have an orchestration agent that uses other agents as tools (to create content or do research) to play other roles in a multi-agent use case.

  • @RhinoInsight
    @RhinoInsight 23 дня назад

    This is absolutely amazing! AI Agents open up so many opportunities and LangFlow makes the process building AI Agents so much easier.

  • @HyperUpscale
    @HyperUpscale 25 дней назад

    Is it possible to fix your instalation instructions? Like ...which python version, which platform, which file to follow, which package manager, which versions... as the curent instructions are so vague that can not be concidered even related :)

  • @jehandadkamal9637
    @jehandadkamal9637 25 дней назад

    Great stuff. I really want to be able to use multiple optional images and other data types. I have list of image url, I dont want to put it manually in the Files Input.

  • @atulonweb1
    @atulonweb1 25 дней назад

    Awesome... one question.. why it does not support https by default. Chat control or new stream response feature cannot be used because proxy server introduction in between.

  • @revotech5980
    @revotech5980 25 дней назад

    love the new version launch, congrats guys! I was just wondering, i own an ai automation agency, and im pretty sure that different platforms have their own pros and cons for different usecases or niches. How does Langflow compare to n8n? do you guys have any blog article explaining the key differences? thank you very much

  • @karoinnovation1033
    @karoinnovation1033 25 дней назад

    What kind of useless bs with annoying music is this?

  • @KnopfsTechOdyssey-gd2mp
    @KnopfsTechOdyssey-gd2mp 26 дней назад

    HI there - thanks for the tutorial I wanted to point out that I had severe troubles on mac installing via pip (first proposal from the langflow github page) because it got stuck trying to resolve dependencies (python 3.12) so in the end was calling uv pip install langflow to install langflow. Then you follow it up with langflow run in your terminal and once its up and running go to 127.0.0.1:7860 (or whatever IP is shown to you in the terminal) and you're ready to go. Thanks guys for an awesome tool :) !

  • @Aman-yu4re
    @Aman-yu4re 26 дней назад

    manhy of the things are not working with crew ai

  • @SamBeera
    @SamBeera 27 дней назад

    Hey Rodrigo - can we get a test harness component that will measure the agent workflow

  • @TheEnlightenedVoice539
    @TheEnlightenedVoice539 Месяц назад

    That's very interesting i am creating a multiple personality agent hence I am using hard coding do that in your platform will be harder ? Do I have to create all agents seperately and hence do I have to use all of them in a single ui. Can it be done ??

  • @chanceobondo3843
    @chanceobondo3843 Месяц назад

    Honestly I am glad to see Langflow grow since I set it up first time myself last year October. This is great guys!

  • @sandeepdesale-v4e
    @sandeepdesale-v4e Месяц назад

    How do we upload this csv from api endpoint to csv agent?

  • @mudassarm30
    @mudassarm30 Месяц назад

    I want to join you guys in this endeavor. How can I do that ?

  • @mediopalodev
    @mediopalodev Месяц назад

    Brilliant work guys!

  • @JeremieAITech-ob7th
    @JeremieAITech-ob7th Месяц назад

    Langlow is amazing 😍

  • @amiralihasseini4365
    @amiralihasseini4365 Месяц назад

    Langflow is gonna be so helpful and great to work with Congrats to the developers

  • @KodandocomFaria
    @KodandocomFaria Месяц назад

    langflow multi agent is able to handle parallel agent execution ? for instance imagine I create a chat with multiple agent and each one handles one part of chat and user ask 2 things at same time, so I need orchestrator can call all 2 agent at same time to solve this, generate specificy responses in each case and then with a final agent consolidate response to send to user is it possible ?

  • @irvicon
    @irvicon Месяц назад

    Thanks for the useful information about the Assembly AI transcription service and its use in langflow.

  • @rawat7203
    @rawat7203 Месяц назад

    Scam ?

  • @WeiBTV
    @WeiBTV Месяц назад

    Wow

  • @beethoven4776
    @beethoven4776 Месяц назад

    Hi Could you share the collection.json to me? Please..

  • @JeremieAITech-ob7th
    @JeremieAITech-ob7th Месяц назад

    Hello !! Thank you so much ! Love the new UI :o Don't see where we found the workflow (for langflow) ? (Don't find in the store :/)

    • @orzwo
      @orzwo Месяц назад

      where the workflow?

  • @raphaelchristi6424
    @raphaelchristi6424 Месяц назад

    Awesome!

  • @JadTawil-t4d
    @JadTawil-t4d Месяц назад

    The extractor options and page options need an explanation! Can you show an example of how it is used

  • @StoryLand3D
    @StoryLand3D Месяц назад

    😍🤩

  • @joaootero6877
    @joaootero6877 Месяц назад

    the contrast is really bad, difficult to see the lines, texts..