Building a new application powered by Large Language Models (LLMs) is an exciting venture. With frameworks and APIs at our fingertips, creating a proof-of-concept can take mere hours. But transitioning from a clever prototype to production-ready software unveils a new set of challenges, central among them being a principle that
This post will walk you through how you can build your own "please-reply" system using Langflow, the easiest way to build AI agents, and SendGrid's Inbound Parse. We'll show you how you can build one for your own organization.
Connect your Langflow flows to phone calls using Twilio ConversationRelay and build AI-powered voice assistants. Learn to handle speech-to-text and text-to-speech, and how to stream responses for a more natural conversation.
Hello, fellow dev nerds! 👋 Inspired by some intriguing displays at GitHub Universe, we embarked on a mission to create an app that generates unique, visually stunning "CodeBeasts" based on your GitHub activity. Let's dive into how this app, built with Langflow, Next.js, and Cursor, brings
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.