- Видео 56
- Просмотров 123 560
Langflow
Бразилия
Добавлен 6 мар 2023
Langflow is a new, visual way to build, iterate, and deploy AI apps.
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:...
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:...
Просмотров: 707
Видео
Implementing a ReAct Agent in Langflow: Step-by-Step Guide
Просмотров 773Месяц 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 923Месяц 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 754Месяц 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 840Месяц 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 586Месяц 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 5952 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 8482 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 3992 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 3682 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 9902 месяца назад
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
Просмотров 1,3 тыс.2 месяца назад
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
Просмотров 4772 месяца назад
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
Просмотров 1,4 тыс.2 месяца назад
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
Просмотров 2,3 тыс.2 месяца назад
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!
Просмотров 5373 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 8403 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 9833 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 1,3 тыс.3 месяца назад
Easiest Web Scraping: Using LLMs to Analyze Any Webpage! Cohere & Firecrawl
Desafio 3 - Criação de Agentes com Langflow 🤖
Просмотров 8613 месяца назад
Desafio 3 - Criação de Agentes com Langflow 🤖
How to Call 100s of AI Models with One API - Langflow and AI/ML API
Просмотров 7943 месяца 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 3623 месяца назад
Make sure your LLM app speaks just the way you want!
Langflow How-To: Change and Compare LLMs and Model Providers
Просмотров 5413 месяца назад
Langflow How-To: Change and Compare LLMs and Model Providers
Langflow How-To: Using the Canvas and Components Workspace
Просмотров 6053 месяца назад
Langflow How-To: Using the Canvas and Components Workspace
Langflow How-To: Canvas and Components
Просмотров 3313 месяца назад
Langflow How-To: Canvas and Components
Build with Llama 3.1 using Ollama & Langflow
Просмотров 3,1 тыс.3 месяца назад
Build with Llama 3.1 using Ollama & Langflow
Langflow How-to: Deployment with Docker step-by-step guide!
Просмотров 1,1 тыс.3 месяца назад
Langflow How-to: Deployment with Docker step-by-step guide!
Build Amazing Multi Agent Crews and Monitor them - Latest CrewAI and LangWatch Integration
Просмотров 4 тыс.3 месяца назад
Build Amazing Multi Agent Crews and Monitor them - Latest CrewAI and LangWatch Integration
Build LLM-Powered Apps with Cohere and Langflow
Просмотров 6213 месяца назад
Build LLM-Powered Apps with Cohere and Langflow
Hello! I’m currently developing an advanced local RAG system. While I’m not a professional developer, I have a solid foundational understanding and have successfully customized several components. The insights shared in this video are exactly what I need! I am particularly interested in improving my retrieval process using Named Entity Recognition (NER), Coreference Resolution, and Advanced Retrieval Models. Additionally, I would like to explore weight-based reranking techniques to enhance the effectiveness of my system. Furthermore, despite exploring various resources and engaging with your Discord community, I’m still encountering challenges with performing hybrid searches in ChromaDB. Would it be possible to create a comprehensive video tutorial using Langflow to illustrate the concepts discussed in this session?
It's not work in windows? Could u help with another maybe a video?
Thanks for sharing. But which langflow version could find this ReAct Agent?
need more tips!
help me to create this work flow in langflow "llm + multiple pdf + normal RAG + Graph RAG + hybrid search + Reranker + web search"
help me to create this work flow in langflow "llm + multiple pdf + normal RAG + Graph RAG + hybrid search + Reranker + web search"
help me to create this work flow in langflow "llm + multiple pdf + normal RAG + Graph RAG + hybrid search + Reranker + web search"
What about adding Text-to-Speech component, for example 11labs or Cartesia? Voice-to-voice assistent realy needed.
This is the only video that shows a tutorial with CrewaI on Langflow, and it is terrible. We also have a Sequential Task Agent.
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.
please make full dock and deploy doc
Hi, I don't have such features in my langflow. Do I need to upgrade my plan?
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?
How to get chat response with image or table?
Unstructured + Langflow = 🔥🔥
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
Very useful.
How do I send email with the output from my data? Which component can I use for emailling please?
Thank you!
Can I have user accounts?
how can i be where you are
thanks a lot,good tutorial.
so why it is not working for me? none of the tempaltes works
i have the newest langlfow there is Composio Tools but in ACTION TO USE the only choice is _DEPRECATED
Is this example available to play with? Where can I find it thanks,, don't see the Langwatch component in Langflow ?
great video! where can I find the flow that was build?
Composio seems awesome, but we definitely need an open source self hosted alternative.any idea?