- Видео 53
- Просмотров 98 776
Langflow
Бразилия
Добавлен 6 мар 2023
Langflow is a new, visual way to build, iterate, and deploy AI apps.
Supercharge Your LLM Workflow Monitoring: Integrating Langfuse with Langflow
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 - Configuring environment variables for Langflow-Langfuse integration
1:16 - Launching Langflow with Langfuse integration
1:42 - Running and testing Langflow chains with active monitoring
1:58 - Exploring Langfuse dashboard: Viewing traces from Langflow
2:11 - Analyzing trace details: Inputs, outputs, and ...
Timestamps:
0:00 - Introduction to Langfuse and its features
0:34 - Setting up Langfuse: Creating a project and accessing API keys
0:55 - Configuring environment variables for Langflow-Langfuse integration
1:16 - Launching Langflow with Langfuse integration
1:42 - Running and testing Langflow chains with active monitoring
1:58 - Exploring Langfuse dashboard: Viewing traces from Langflow
2:11 - Analyzing trace details: Inputs, outputs, and ...
Просмотров: 242
Видео
Beyond Basic RAG
Просмотров 3307 часов 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 28112 часов 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 362День 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 51314 дней 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 28314 дней 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 23021 день 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 52921 день 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 76721 день 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 315Месяц 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 857Месяц 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 1,4 тыс.Месяц 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 427Месяц назад
Discover the vast resources available at Langflow Store, from community-contributed flows and components to easy installation guides and sharing tips. Learn how to get started with a free API key, navigate the store, and contribute your own creations. Dive into the world of Langflow with step-by-step instructions by Misbah Syed and maximize your workflow efficiency! 00:00 Introduction to Langfl...
Build Your Own AI Companion in Langflow: Step-By-Step Guide! (Bonus: Fine-tune Prompt w/ Cohere)
Просмотров 726Месяц назад
Discover how to create a friendly AI companion using Langflow and Cohere's Prompt Tuner in just a few easy steps! From setting up a chat prompt to optimizing responses and choosing the best model, we'll guide you through the entire process. Learn how to fine-tune your AI for better interaction and get detailed, helpful responses. Perfect for beginners and experts looking to enhance their AI app...
Building a RAG app using Cohere LLM, Embedding, and Reranker in Langflow
Просмотров 732Месяц назад
Dive into the world of Retrieval Augmented Generation (RAG) as we guide you through embedding a PDF document and leveraging Cohere embeddings for enhanced Q&A. Learn how to split text, use local vector databases like ChromaDB, and generate summarized responses. Discover the power of Rerankers to refine answer precision based on top results, ensuring your queries are met with the best possible r...
Easiest Web Scraping: Using LLMs to Analyze Any Webpage! Cohere & Firecrawl
Просмотров 1,1 тыс.Месяц назад
Easiest Web Scraping: Using LLMs to Analyze Any Webpage! Cohere & Firecrawl
Desafio 3 - Criação de Agentes com Langflow 🤖
Просмотров 643Месяц назад
Desafio 3 - Criação de Agentes com Langflow 🤖
How to Call 100s of AI Models with One API - Langflow and AI/ML API
Просмотров 626Месяц 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 301Месяц назад
Make sure your LLM app speaks just the way you want!
Langflow How-To: Change and Compare LLMs and Model Providers
Просмотров 473Месяц назад
Langflow How-To: Change and Compare LLMs and Model Providers
Langflow How-To: Using the Canvas and Components Workspace
Просмотров 449Месяц назад
Langflow How-To: Using the Canvas and Components Workspace
Langflow How-To: Canvas and Components
Просмотров 251Месяц назад
Langflow How-To: Canvas and Components
Build with Llama 3.1 using Ollama & Langflow
Просмотров 2,6 тыс.Месяц назад
Build with Llama 3.1 using Ollama & Langflow
Langflow How-to: Deployment with Docker step-by-step guide!
Просмотров 654Месяц 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 2,9 тыс.Месяц назад
Build Amazing Multi Agent Crews and Monitor them - Latest CrewAI and LangWatch Integration
Build LLM-Powered Apps with Cohere and Langflow
Просмотров 5802 месяца назад
Build LLM-Powered Apps with Cohere and Langflow
Langflow How-To: Open Source LLM with Langflow and Ollama
Просмотров 1,4 тыс.2 месяца назад
Langflow How-To: Open Source LLM with Langflow and Ollama
Live de abertura competição IA Devs Langflow
Просмотров 2,9 тыс.2 месяца назад
Live de abertura competição IA Devs Langflow
How-to: Langflow Cloud Service Start
Просмотров 4132 месяца назад
How-to: Langflow Cloud Service Start
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?
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'))
This is AMAZING!! thanks a TON my friend!🥰🥰
🔥🔥🔥
Would love a comprehensive custom component and custom tool tutorial..
Keep up the great work! I'm going to think about how I can use this in my app.
the background is annoying.......
Where can I find the "inspect memory" component? Was it being removed ?
give the mic input in langflow
Error response from daemon: unable to find user user: no matching entries in passwd file
Audio and video resolution are not best and hence very difficult for me to understand what is being explained.
where can i download this example and import into local project
amazing!!!!! many thanks!!
Não consigo carregar os arquivos e, quando um erro se resolve, outro aparece
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
same error im also getting...
Next step, langflow-django, so that we can have auth, etc.
Can we upload excel (.xlsx) instead of csv?
Please show the vector store and search/retrieval steps. It's not practical to scrape the website for every LLM interaction.
Congratulations on everything you have done. I would like more videos related to the composio tool.
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
How much Data Can be stored in RAG?
i am new to langflow from india . Any tips for me ?
Equipe de feras! Parabéns pelo ótimo trabalho!
Thanks for another wonderful component. I love langflow!
Great. I've been thinking of an idea; can we enrich the questions with memory ? I think this is a more robust approach
Also; a suggestion, in your example above you should have a component to exclude duplicate docs before generation.
I wish I was able to connect to my Qdrant Vector Store and Collection from Langflow as easily as that. I have tried absolutely everything and no joy :-(
How do you compare with flowise and langgraph? Thanks you so much
Great chat. Tried render severally but it keeps failing. I have opted for an ubuntu droplet in Digital Ocean.
I think I've missed something - how do you make the Composio Tools component appear in Langflow ?
Hi, you need to have the new release 1.0.15 or greater installed - that adds the new Composio component in the left panel if you search for it.
Gand fat gya
I would love to see an FAQ splitter (split into Q & A pairs), since this is one of the major use-case for RAG. Will try to create a compnent for that. I have the python code.
Records output is not available on the latest version but text output workd just fine. On another note I would like to chunk an FAQ so that every Q& A pair is in its own chunk. I already have a python code for the same (chunking); I will try to implement it here in langflow
why do I not see user_input in the prompt component?
Misbah giving out wisdom for free, instead of launching a new SaaS once a week. Legend.
Wait, Langflow has crewAI built in?!
As components
I need to catch up in your Langflow tutorials, lots of good stuff.