Langflow
Langflow
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How to Use Assembly AI in Langflow for Automated Transcription and More!
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 Assembly AI.
Timestamps: 00:00 - Introduction to Assembly AI and Langflow
00:17 - Creating an Assembly AI Account and API Key
00:30 - Setting Up Langflow Components
00:46 - Uploading an Audio File for Transcription
00:53 - Selecting Transcription Models
01:10 - Running the Transcript and Polling Results
01:27 - Viewing the Transcript and Results
02:00 - Using Timestamps, Confidence Scores, and Speaker IDs
02:20 - Parsing the Full Transcript
02:37 - Creating Subtitles (SRT and VTT Formats)
03:12 - Using Assembly AI Credits for Summarizing and Other Tasks
03:40 - Creative Uses for Transcripts (Blog Posts, Essays, etc.)
04:01 - Final Tips and Additional Components in Langflow
Переглядів: 231

Відео

Implementing a ReAct Agent in Langflow: Step-by-Step Guide
Переглядів 3129 годин тому
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
Переглядів 33914 годин тому
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
Переглядів 37821 годину тому
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
Переглядів 469День тому
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
Переглядів 360День тому
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
Переглядів 42314 днів тому
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
Переглядів 58221 день тому
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
Переглядів 31021 день тому
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
Переглядів 25428 днів тому
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
Переглядів 628Місяць тому
Discover how to leverage Langflow for powerful CSV data analysis in this quick tutorial. We demonstrate the tool's capabilities using the famous Titanic dataset from Kaggle. Learn how to: 0:00 - Introduction to Langflow for CSV data analysis 0:14 - Uploading the Titanic CSV dataset 0:29 - Asking simple questions (e.g., counting passengers) 0:56 - Analyzing complex queries (survival rates by pas...
Build and Deploy AI MVPs: Streamlit and Langflow Tutorial
Переглядів 843Місяць тому
In this tutorial, learn how to quickly create and deploy web applications using Python's Streamlit and Langflow. With just a few lines of code, you'll see how to integrate these tools and get your app running in no time. Timestamps: [00:00:00] Introduction to Streamlit for Python Developers [00:00:05] Getting Started with Streamlit and Langflow [00:00:20] Setting Up the Repo and Code Space [00:...
How to Run Tasks in Parallel: A Step-by-Step Guide to Using Runnable Parallel in Langflow
Переглядів 331Місяць тому
In this video, we will explore how to run tasks in parallel using LangChain's 'Runnable Parallel' feature. This tutorial will guide you through the process of setting up and executing parallel tasks in Langflow, helping you optimize your app's performance. Whether you're a developer looking to improve your application's efficiency or a tester aiming to aggregate results from multiple tasks, thi...
How Multi-Query RAG Can Improve Data Retrieval & Response
Переглядів 948Місяць тому
Explore the transformative power of Multi-Query Retrieval Augmented Generation (RAG) in this video. Learn how this advanced AI technique can enhance data retrieval and generate more accurate responses by leveraging multiple queries. From setting up your RAG pipeline to integrating Langflow and GPT-4o-mini, we cover everything you need to build both simple and sophisticated RAG applications. Dis...
AI Calendar Scheduling Agent - CrewAI, Composio, and Langflow
Переглядів 1,6 тис.Місяць тому
Discover how to supercharge your productivity by integrating Langflow with Composio, providing your AI agents access to hundreds of tools! In this tutorial, Misbah Syed will walk you through how to set up and use the Gmail and Google Calendar tools to create a sophisticated AI calendar assistant. Step through the process of creating an API key, setting up permissions, and configuring an agent t...
Langflow Store: Explore, Install, and Share Community Flows & Components!
Переглядів 441Місяць тому
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)
Переглядів 748Місяць тому
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
Переглядів 775Місяць тому
Building a RAG app using Cohere LLM, Embedding, and Reranker in Langflow
Easiest Web Scraping: Using LLMs to Analyze Any Webpage! Cohere & Firecrawl
Переглядів 1,1 тис.Місяць тому
Easiest Web Scraping: Using LLMs to Analyze Any Webpage! Cohere & Firecrawl
How to use Cohere LLM in Langflow
Переглядів 170Місяць тому
How to use Cohere LLM in Langflow
Desafio 3 - Criação de Agentes com Langflow 🤖
Переглядів 679Місяць тому
Desafio 3 - Criação de Agentes com Langflow 🤖
How to Call 100s of AI Models with One API - Langflow and AI/ML API
Переглядів 667Місяць тому
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!
Переглядів 304Місяць тому
Make sure your LLM app speaks just the way you want!
Langflow How-To: Change and Compare LLMs and Model Providers
Переглядів 4802 місяці тому
Langflow How-To: Change and Compare LLMs and Model Providers
Langflow How-To: Using the Canvas and Components Workspace
Переглядів 4602 місяці тому
Langflow How-To: Using the Canvas and Components Workspace
Langflow How-To: Canvas and Components
Переглядів 2572 місяці тому
Langflow How-To: Canvas and Components
Build with Llama 3.1 using Ollama & Langflow
Переглядів 2,6 тис.2 місяці тому
Build with Llama 3.1 using Ollama & Langflow
Langflow How-to: Deployment with Docker step-by-step guide!
Переглядів 7142 місяці тому
Langflow How-to: Deployment with Docker step-by-step guide!
Build Amazing Multi Agent Crews and Monitor them - Latest CrewAI and LangWatch Integration
Переглядів 3,1 тис.2 місяці тому
Build Amazing Multi Agent Crews and Monitor them - Latest CrewAI and LangWatch Integration
Build LLM-Powered Apps with Cohere and Langflow
Переглядів 5882 місяці тому
Build LLM-Powered Apps with Cohere and Langflow

КОМЕНТАРІ

  • @bebebe3000
    @bebebe3000 2 дні тому

    This is the only video that shows a tutorial with CrewaI on Langflow, and it is terrible. We also have a Sequential Task Agent.

  • @RodCoelho
    @RodCoelho 3 дні тому

    It would be nice to see a video about how to create a component. For example I would like to build a component to integrate with POE bots.

  • @CodexOdyssey
    @CodexOdyssey 3 дні тому

    please make full dock and deploy doc

  • @relaxing_chilling_songs
    @relaxing_chilling_songs 3 дні тому

    Hi, I don't have such features in my langflow. Do I need to upgrade my plan?

  • @JoaquinTorroba
    @JoaquinTorroba 3 дні тому

    Hi Misbah, this content is really good. I wanted to ask, would you recommend a bubble dev to start using Langflow? If so, how would you suggest they get started?

  • @seksantech
    @seksantech 4 дні тому

    How to get chat response with image or table?

  • @deeplearningpartnership
    @deeplearningpartnership 5 днів тому

    Unstructured + Langflow = 🔥🔥

  • @WanMiesham
    @WanMiesham 5 днів тому

    hi.. can i know how to solve this error , it is appear when i run langflow: Starting Langflow v1.0.18... [09/24/24 19:07:05] ERROR 2024-09-24 19:07:05 - ERROR - directory_reader - Error while directory_reader.py:351 getting output types from code: Type parameter ~TReferences without a default follows type parameter with a default

  • @arirajuns
    @arirajuns 5 днів тому

    Very useful.

  • @herikaazevedo4282
    @herikaazevedo4282 6 днів тому

    How do I send email with the output from my data? Which component can I use for emailling please?

  • @Bora4100
    @Bora4100 7 днів тому

    Thank you!

  • @samuellembke4565
    @samuellembke4565 13 днів тому

    Can I have user accounts?

  • @happier13
    @happier13 13 днів тому

    how can i be where you are

  • @JeromeChung
    @JeromeChung 13 днів тому

    thanks a lot,good tutorial.

  • @GabrielCage92
    @GabrielCage92 14 днів тому

    so why it is not working for me? none of the tempaltes works

  • @GabrielCage92
    @GabrielCage92 15 днів тому

    i have the newest langlfow there is Composio Tools but in ACTION TO USE the only choice is _DEPRECATED

  • @MrNiceseb
    @MrNiceseb 16 днів тому

    Is this example available to play with? Where can I find it thanks,, don't see the Langwatch component in Langflow ?

  • @superuser8630
    @superuser8630 17 днів тому

    great video! where can I find the flow that was build?

  • @mattiavadala7870
    @mattiavadala7870 17 днів тому

    Composio seems awesome, but we definitely need an open source self hosted alternative.any idea?

  • @ShivaKumar-u9g4v
    @ShivaKumar-u9g4v 18 днів тому

    hi, While running the vector store encountered with the error -HTTPConnectionPool(host='localhost', port=8080): Max retries exceeded with url: / (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x00000171EF4EEBD0>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it'))

  • @reza2kn
    @reza2kn 20 днів тому

    This is AMAZING!! thanks a TON my friend!🥰🥰

  • @reza2kn
    @reza2kn 20 днів тому

    🔥🔥🔥

  • @bukitsorrento
    @bukitsorrento 22 дні тому

    Would love a comprehensive custom component and custom tool tutorial..

  • @tristanbob
    @tristanbob 22 дні тому

    Keep up the great work! I'm going to think about how I can use this in my app.

  • @Jimmy-Wang-168
    @Jimmy-Wang-168 22 дні тому

    the background is annoying.......

  • @yen_s_life
    @yen_s_life 24 дні тому

    Where can I find the "inspect memory" component? Was it being removed ?

  • @suzall
    @suzall 26 днів тому

    give the mic input in langflow

  • @rudenickz
    @rudenickz 27 днів тому

    Error response from daemon: unable to find user user: no matching entries in passwd file

  • @LearnWithNewton
    @LearnWithNewton 29 днів тому

    Audio and video resolution are not best and hence very difficult for me to understand what is being explained.

  • @zipairport1219
    @zipairport1219 Місяць тому

    where can i download this example and import into local project

  • @majdaleid6648
    @majdaleid6648 Місяць тому

    amazing!!!!! many thanks!!

  • @vagnerbessa
    @vagnerbessa Місяць тому

    Não consigo carregar os arquivos e, quando um erro se resolve, outro aparece

  • @emrahee
    @emrahee Місяць тому

    I take an error like the one below. Error building Component CSVAgent: langchain.agents.agent.AgentExecutor() got multiple values for keyword argument 'max_iterations' Dismiss

  • @pm1234
    @pm1234 Місяць тому

    Next step, langflow-django, so that we can have auth, etc.

  • @siddhantsharma4991
    @siddhantsharma4991 Місяць тому

    Can we upload excel (.xlsx) instead of csv?

  • @nbietz
    @nbietz Місяць тому

    Please show the vector store and search/retrieval steps. It's not practical to scrape the website for every LLM interaction.

  • @santoscarvalho-zo4wt
    @santoscarvalho-zo4wt Місяць тому

    Congratulations on everything you have done. I would like more videos related to the composio tool.

  • @JonathanLyon
    @JonathanLyon Місяць тому

    can you create a video showing how to use qdrant in a chat flow please. Just as a queryable vector db via chat. I’ve found it impossible to do with langflow

  • @mahimahesh1945
    @mahimahesh1945 Місяць тому

    How much Data Can be stored in RAG?

  • @pankajvarma2117
    @pankajvarma2117 Місяць тому

    i am new to langflow from india . Any tips for me ?

  • @santoscarvalho-zo4wt
    @santoscarvalho-zo4wt Місяць тому

    Equipe de feras! Parabéns pelo ótimo trabalho!

  • @santoscarvalho-zo4wt
    @santoscarvalho-zo4wt Місяць тому

    Thanks for another wonderful component. I love langflow!