Introducing "Building with Llama 4." This short course is created with Meta AI at Meta, and taught by Amit Sangani, Director of Partner Engineering for Meta’s AI team. Meta’s new Llama 4 has added three new models and introduced the Mixture-of-Experts (MoE) architecture to its

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and

🛑Prevent Hallucinated Responses Our integration with Cleanlab allows developers to catch agent failures in realtime To make this more concrete - they put together a blog and a tutorial showing how to do this for a Customer Support agent Blog: cleanlab.ai/blog/prevent-h…

We’re excited to release Workflows 1.0 💫 - a standalone, lightweight orchestration layer for building multi-agent systems. It’s built on a few principles: 1️⃣ A lot of existing agent approaches are too opinionated (e.g. out of the box agent with tools) or too cumbersome to

How Exa built a production-ready deep research agent with LangGraph Exa, known for their fast, high-quality search API, just launched a deep research agent that delivers structured answers on the web -- no matter how complex the query. Powered by LangGraph, they've built

Define your agent logic once, then configure and deploy specialized versions on the fly with LangGraph Assistants. In this video tutorial, you'll learn how to use LangGraph Assistants to: 🔧 Turn static agents into flexible, runtime-configurable systems 🧠 Build and manage

Context Engineering "Context engineering" is a key part of agent building. We review a few popular patterns for context engineering + explain how to use them w/ LangGraph. Blog: blog.langchain.com/context-engine… Video: youtu.be/4GiqzUHD5AA

📢 The SEMANTiCS 2025 Workshops & Tutorials programme is live! Dive into #KnowledgeGraphs, #LLMs, #NLP, semantic interoperability & more. 📅 Join us in Vienna, Sept 3–5, 2025 Explore the programme: 2025-eu.semantics.cc/page/programme #SemanticsConf #LinkedData #SemanticWeb #AI

🤖📚 Context Engineering Guide A comprehensive guide on evolving from prompt to context engineering. LangGraph's agent framework gives developers precise control over LLM execution and context management, optimizing AI performance. Learn more at medium.com/ai-artistry/co…

We’ve published the schedule for the keynote, dinner, and invited speakers on September 4 & 5! 📅 Check it out now and start planning your SEMANTICS 2025 experience! 🗓️Programme here: 2025-eu.semantics.cc/page/programme See you in Vienna! #SemanticsConf #LinkedData #SemanticWeb #AI

Announcing a new Coursera course: Retrieval Augmented Generation (RAG) You'll learn to build high performance, production-ready RAG systems in this hands-on, in-depth course created by DeepLearning.AI and taught by Zain, experienced AI and ML engineer, researcher,

As ChatGPT becomes a go-to tool for students, we’re committed to ensuring it fosters deeper understanding and learning. Introducing study mode in ChatGPT — a learning experience that helps you work through problems step-by-step instead of just getting an answer.

This is one of my favorite features that we've launched! Creating LLM-as-a-Judge evaluators is hard - this hopefully makes that flow a bit easier I believe in this flow so much I even recorded a video around it! youtu.be/-9o94oj4x0A

I'm thrilled to announce the definitive course on Claude Code, created with Anthropic and taught by Elie Schoppik Elie Schoppik. If you want to use highly agentic coding - where AI works autonomously for many minutes or longer, not just completing code snippets - this is it.

We just launched GPT-5! There has been an unbelievable amount of safety work that went into this model, from factuality, to deception, to brand new safety training techniques. More details and plots in the 🧵

🔥GPT-5 is now in LangSmith Playground w/ built-in cost tracking. Available models: • gpt-5 • gpt-5-mini (now default) • gpt-5-nano Start building with the latest models → smith.langchain.com/playground

📚LangChain Academy: Deep Research One of the most popular use cases for agents is "deep research" We've added a new hour long course on how to build one of these Course: academy.langchain.com/courses/deep-r…

🤖📄 Just-RAG An intelligent PDF conversation system that combines LangGraph's agentic workflows with Qdrant's vector search capabilities for enhanced document processing. Check out the implementation ⭐ github.com/Goodnight77/Ju…

Firefox adds LLM capabilities for add-ons via llama.cpp firefox.com/en-US/firefox/…

📚🔍 Academic Deep Search Assistant A powerful research assistant that automatically discovers and analyzes academic papers, generating comprehensive reports. Built with LangGraph to transform literature review workflows. Check out this game-changing research tool 📖