In this guide, Melissa Herrera walks through the development process of creating an AI fashion recommendation app that takes user-provided images and/or text queries to deliver tailored clothing recommendations.
This guide will walk you through deploying Langflow to a variety of popular hosting platforms - FlightControl, Fly.io, Render, and Hetzner - transforming your local projects into globally accessible AI powerhouses.
TL;DR Langflow 1.4 introduces Projects to organize and scale workflows and makes it simple to expose them over MCP. With Langflow Desktop, your machine becomes a local AI agent factory, ready to build and serve powerful tools, data, and context to your favorite apps. Projects Langflow 1.4
LLM models face a significant limitation: they're often restricted to information available in their training data. But what if your AI agent could retrieve up-to-date information from the web in real time? Let's walk you through how to implement web search capabilities in your Langflow flows.
Hey there, developers! 👋 Melissa here, and today I'm diving into the world of webhooks in Langflow. Whether you're a seasoned coder or just getting started, this guide will walk you through setting up and using webhooks in your Langflow projects. Let's get started! 🚀 Setting
Wrapping-up a big week of Langflow launches, including: MCP, file system & data pipelines, Voice Mode, Desktop and GraphRAG.
The new Graph RAG component in Langflow takes your workflows to the next level by improving accuracy and incorporating data relationships directly.
We’re excited to launch Langflow Desktop, a new version of Langflow that developers can run natively on their development machines.
Today, we’re thrilled to introduce a cool new feature in Langflow: Voice Mode! 🎤 This new addition allows you to engage in natural, voice-based conversations with any of your Langflow flows.
Big updates to Langflow, including: 📤 Multi-file Uploads, 🗃️ New File Management System, 🔄 Cross-Flow File Access, 📊 Enhanced CSV Handling.
Langflow can now be used as both an MCP client and MCP server. As a client, you can use a built-in MCP component to interact with external MCP servers within your agentic flows. As a server, you can turn your existing Langflow workflows into tools that other MCP clients can access and orchestrate.
Five Days. Big Ideas. New SuperPowers for Your AI Agents. 📅 March 31 – April 4, 2025 Langflow is evolving—and we’ve got something special for you. Starting March 31, we’re rolling out Langflow Launch Week: five days of updates, surprises, and new capabilities that give developers more power and