launch-week
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.
Rodrigo Nader
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…
Prompt Caching in LLMs: Intuition
A brief tour of how caching works in attention-based models
Beyond Basic RAG: Retrieval Weighting
In Retrieval-Augmented Generation (RAG) systems, it’s common to assume that simply feeding an entire text corpus and relying on plain…
Beyond Basic RAG: Similarity ≠ Relevance
RAG systems often rely on similarity as a proxy for relevance when retrieving text chunks. If a text is similar to a query, we assume it…
Langflow 1.0 is out… with a Cloud Service!
It’s official! 🚀 Langflow 1.0 is launched, along with a new cloud service
Langflow New Release — 1.0.51a
We're almost crossed the alpha finish line — expect bugs, excitement, and a final release soon!
Langflow + DataStax: Better Together
The past few weeks have been nuts, and we’ve been itching to share some huge news with you all… 🥁 Langflow is joining DataStax!