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
IBM plans to acquire DataStax, the parent company of Langflow
Learn how machine learning concepts have evolved in GenAI times
A Delightful Invitation to Agentic Pipelines! 🚀
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…
A brief tour of how caching works in attention-based models
In Retrieval-Augmented Generation (RAG) systems, it’s common to assume that simply feeding an entire text corpus and relying on plain…
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…
It’s official! 🚀 Langflow 1.0 is launched, along with a new cloud service
We're almost crossed the alpha finish line — expect bugs, excitement, and a final release soon!
The past few weeks have been nuts, and we’ve been itching to share some huge news with you all… 🥁 Langflow is joining DataStax!
Welcome back to our Langflow micro tutorials series! In this article, we’ll continue exploring simple Langflow examples and the design of…