Langflow Launch Week Wrap Up
Wrapping-up a big week of Langflow launches, including: MCP, file system & data pipelines, Voice Mode, Desktop and GraphRAG.
Launch Week Day 5 - Graph RAG 🕸️
The new Graph RAG component in Langflow takes your workflows to the next level by improving accuracy and incorporating data relationships directly.
Launch Week Day 4 - Langflow Desktop 👨🏽💻
We’re excited to launch Langflow Desktop, a new version of Langflow that developers can run natively on their development machines.
Launch Week Day 3 - Voice Mode 🎙️
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.
Launch Week Day 2 - Files & Data 💾
Big updates to Langflow, including: 📤 Multi-file Uploads, 🗃️ New File Management System, 🔄 Cross-Flow File Access, 📊 Enhanced CSV Handling.
Launch Week Day 1 - MCP ⚡️
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.
Announcing Langflow Launch Week
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
Introducing MCP Integration in Langflow
Model Context Protocol (MCP) is an open standard from Anthropic, largely inspired by language servers (LSP) from Microsoft and VS Code. It is designed to establish seamless interoperability between Large Language Model (LLM) applications and external tools, APIs, or data sources. Today, every chat app has its own functionality and
Big news for Langflow!
IBM plans to acquire DataStax, the parent company of Langflow
Transfer Learning, Pre-Training, or Fine-Tuning?
Learn how machine learning concepts have evolved in GenAI times
Langflow 1.1 Release
A Delightful Invitation to Agentic Pipelines! 🚀
Text Splitting: Beyond Basic RAG
In RAG, splitting text into chunks is key to making retrieval effective. But there’s more than one way to do it. Some methods are quick and…