Introducing End-to-End OpenTelemetry Support in LangSmith LangSmith now provides end-to-end OpenTelemetry (OTel) support for applications built on LangChain and/or LangGraph.
How Lovable uses LangSmith to debug & monitor agents in production Discover how Lovable leveraged LangSmith to gain visibility into its agent’s interactions, rapidly scaling its AI software engineer agent to $25M ARR in just 4 months.
Vodafone transforms data operations with AI using LangChain and LangGraph See how Vodafone, a leading telecom company serving 340M+ customers, used LangChain and LangGraph for its performance metrics monitoring and information retrieval chatbots.
How Inconvo is improving customer-facing analytics with conversational AI built on LangGraph See how Inconvo leverages LangGraph to empower non-technical users to conduct data analysis seamlessly through natural language queries.
How do I speed up my AI agent? I get this question a bunch. Developers generally first spend time getting the agent to work, but then they turn their attention to speed and
How C.H. Robinson is transforming the logistics industry with LangChain Global logistics provider saves 600+ hours a day with tech they built using LangGraph, LangGraph Studio, and LangSmith developer tools.
MCP: Flash in the Pan or Future Standard? Model Context Protocol (MCP) is creating quite the stir on Twitter – but is it actually useful, or just noise? In this back and forth, Harrison
How Build.inc used LangGraph to launch a Multi-Agent Architecture for automating critical CRE workflows for Data Center Development. Editor's note: This is a guest blog post from our friends at Build.inc. They built one of the more complex multi-agent workflows
LangGraph 0.3 Release: Prebuilt Agents By Nuno Campos and Vadym Barda Over the past year, we’ve invested heavily in making LangGraph the go-to framework for building AI agents. With
How MUFG Bank increased sales efficiency by 10x with LangChain See how MUFG Bank used LangChain to streamline corporate sales research, cutting data analysis time from hours to minutes and boosting efficiency 10x.
Quickly Start Evaluating LLMs With OpenEvals Evaluations (evals) are important for bringing reliable LLM powered applications or agents to production, but it can be hard to know where to start when
Beyond RAG: Implementing Agent Search with LangGraph for Smarter Knowledge Retrieval Editor's note: this is a guest post from our friends at Onyx. As LangGraph has matured, we've seen more and more
LangMem SDK for agent long-term memory Today we're releasing the LangMem SDK, a library that helps your agents learn and improve through long-term memory. It provides tooling to extract
