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n8n Tracing to LangSmith
LangChain· 2025-08-05 14:30
Hey there. Today you're going to learn how you can set up tracing from N8N to Langsmith in just a few minutes. NADN is an AI workflow builder.It has this really nice interface where I can quickly string together a few nodes into a simple AI agent. You can start by testing out these workflows directly in this canvas. And then once you're happy with it, you can also set up external triggers to execute these workflows automatically.Now, whether you're just getting started building or if you already have an age ...
Open Deep Research
LangChain· 2025-07-16 16:01
Hi there. Today you're going to learn all about the Langchain deep research agent and how you can use it as a starting point for your projects. It's highly configurable and allows you to add your own MCP servers and is open source so you can tailor it to your own specific use cases.Let's see how it works. So later this year, my roommates and I want to take a trip to Amsterdam and Norway. We want to leave New York on September 12th and get back on the following Sunday.I want to ask Deep Research if it can he ...
How Outshift by Cisco achieved a 10x productivity boost with JARVIS, their AI Platform Engineer
LangChain· 2025-06-11 17:00
Agentic Platform Engineering Implementation - Outshift by Cisco is redefining platform engineering with agentic platform engineering, aiming to automate workflows and allow platform engineers to focus on high-value work [1][2] - The company built Jarvis, a genai-powered multi-agentic system, to automate tasks and improve efficiency [2] - Langraph, combined with Langsmith's observability tools, enables debugging agentic applications and improving reasoning capabilities at scale [6] Efficiency Improvement - Implementing Jarvis allows developers to self-service through genai-powered automation, eliminating manual toil [4] - CI/CD pipeline setup time reduced from a week to less than an hour [7] - Resource provisioning time (e.g., S3 buckets, EC2 instances, access keys) reduced from half a day to nearly instantaneous [7] - The company has eliminated unnecessary back and forth between developers and SREs [7] Workflow Transformation - The company shifted from traditional automation to agentic reasoning-based workflows by adopting Langraph [5] - Developers interact with Jarvis for platform-related questions and configurations, retrieving information autonomously [8] - The new system allows the company to handle a higher volume of requests with the same team while reducing burnout [8] Technology Evaluation - Langraph's tight integration with Langsmith, especially for debugging and evaluations, is a significant advantage [9] - The company found Langraph to be superior compared to other agentic solutions or custom-built alternatives [9]