Announcing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliably Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.
Aligning LLM-as-a-Judge with Human Preferences Deep dive into self-improving evaluators in LangSmith, motivated by the rise of LLM-as-a-Judge evaluators plus research on few-shot learning and aligning human preferences.
How Factory used LangSmith to automate their feedback loop and improve iteration speed by 2x How Factory AI uses LangSmith to debug issues and close the product feedback loop, resulting in a 2x improvement in iteration speed.
Workspaces in LangSmith for improved collaboration and organization LangSmith activities and workflows now happen in workspaces that separate resources between teams, business units, or deployment environments.
Documentation Refresh for LangChain v0.2 Learn about the docs refresh for LangChain v0.2. There's now versioned docs and a clearer structure — with tutorials, how-to guides, conceptual guides, and API docs
Integrating LangChain with Azure Container Apps dynamic sessions Azure Container Apps dynamic sessions provide a secure, low-latency, reliable Python REPL API. With the new dynamic sessions LangChain integration, you can safely give your
Pairwise Evaluations with LangSmith What is pairwise evaluation? Learn why you might need it for your LLM app development, and see a walk-through example of how to use pairwise evaluators in LangSmith.
LangChain v0.2: A Leap Towards Stability Today, we're announcing the pre-release of LangChain v0.2, which improves the stability and security of LangChain.
How to Build the Ultimate AI Automation with Multi-Agent Collaboration Assaf Elovic, Head of R&D at Wix, walks through how to build an autonomous research assistant using LangGraph with a team of specialized agents.
Access Control Updates for LangSmith Access management can be a pain for large engineering teams as they build LLM applications. To avoid playing a game of whodunit or over/under-provisioning
How Dosu Used LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering Editor's Note: the following is authored by Devin Stein, CEO of Dosu. In this blog we walk through how Dosu uses LangSmith to
Regression Testing with LangSmith This blog post walks through our improved regression testing experience in LangSmith. If video form is more your style, you can check out our YouTube
