David Tag from @LinkedIn reveals how they built their first production AI agent for hiring using LangChain and LangGraph. Learn the technical architecture behind LinkedIn Hiring Assistant and the framework that scaled AI development across 20+ teams. Watch the full session
@langchain
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LangSmith Service Disruption Due to Cloud Provider Issue
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LangSmith Availability Impacted: Please follow our status page for more information https://
status.smith.langchain.com We've identified an underlying cloud provider issue causing failures in the LangSmith application, API, and LangGraph Platform including run ingestion. We are working -
BlackRock’s $11T AI Agents Powering Aladdin Platform Globally
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Discover how $11 trillion dollar asset manager @BlackRock built production-ready AI agents that power their Aladdin platform across 100+ applications globally. Supporting over 4,000 engineers, Brennan Rosales and Pedro Vicente Valdez walk us through how they built Aladdin
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LangGraph Streamlines Financial Operations with Trust and Transparency
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Automating financial operations only works if it's trustworthy. @ModernTreasury uses LangGraph to streamline payment ops with the control, transparency, and auditability the industry demands.
— LangChain (@LangChain) 12 juin 2025
Using LangGraph, Paul Razgaitis (AI Tech Lead) and his team built their first… pic.twitter.com/1s4j6ZZMNlAutomating financial operations only works if it's trustworthy. @ModernTreasury uses LangGraph to streamline payment ops with the control, transparency, and auditability the industry demands. Using LangGraph, Paul Razgaitis (AI Tech Lead) and his team built their first
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LangGraph+ Tensorlake Integration for Agent Document Understanding
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LangGraph+ Tensorlake: Unlocking Document Understanding for Agents When creating agents that interact with data, the connections you have to that data matter Excited to announce an integration Tensorlake – a best in class document ingestion engine https://
tensorlake.ai/blog/announcin
g-langchain-tensorlake-integration
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LangGraph Opens Doors for Community Contributions and Development
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Contributions welcome! We’ve just made it easier to get involved in LangGraph — check out the newly tagged issues and help shape the future of the project
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JARVIS: Multi-Agent System Automating Infrastructure Tasks with LangGraph
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Say goodbye to platform engineering toil. Using LangGraph, @outshiftbycisco built JARVIS — a multi-agent system that automates repetitive infra tasks and cuts down CI/CD wait times.
— LangChain (@LangChain) 11 juin 2025
JARVIS helped Cisco's Outshift team:
• Complete CI/CD setup in under an hour
• Instantly… pic.twitter.com/eyobiA4ckOSay goodbye to platform engineering toil. Using LangGraph, @outshiftbycisco built JARVIS — a multi-agent system that automates repetitive infra tasks and cuts down CI/CD wait times. JARVIS helped Cisco's Outshift team:
• Complete CI/CD setup in under an hour
• Instantly -
LangChain Customer Video: Agent Engineer Success Stories
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Watch the full video: https://
youtu.be/htcb-vGR_x0/?u
tm_medium=social&utm_source=twitter&utm_campaign=q2-2025_customer-videos_co
… See more agent engineer stories: https://
langchain.com/customers/?utm
_medium=social&utm_source=twitter&utm_campaign=q2-2025_customer-videos_co
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Read the case study: -
Building Legal AI Agents with LangSmith and Lawyer-in-the-Loop
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@harvey__ai
's Ben Liebald shares their proven approach to building legal AI agents using LangSmith evaluations and lawyer-in-the-loop methodology that lawyers trust for complex legal work. Watch the full video to see their approach: https://
youtu.be/kuXtW03cZEA/?u
tm_medium=social&utm_source=twitter&utm_campaign=_interrupt-2025_co
… Catch up on all -
Benchmarking Multi-Agent Architectures: Orchestration Improvements
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Benchmarking Multi-Agent Architectures As more systems become multi-agent, this begs the question: how do you best orchestrate across multiple agents? We did some initial benchmarking, including some improvements to our supervisor approach Blog: https://
blog.langchain.dev/benchmarking-m
ulti-agent-architectures/
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