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How to Build an Agent with Auth and Payments - LangGraph.js
LangChain· 2025-06-30 17:28
If you're interested in adding payments into your application, in this tutorial and with this new open- source repo, we're going to show you how to do that. So, let's say you have an LM based chat application and you want to start charging for usage. One very common way to implement this is through a credit system that can track how many LM requests users are allowed to make.So, here we are in our chat application. I can go ahead and chat with our graph to message the LLM, which will deduct a credit from ou ...
How City of Hope saved clinicians 1000+ hours with HopeLLM
LangChain· 2025-06-30 14:45
[Music] My name is Cena Medina. I'm a lead data scientist and AI engineer at City of Hope National Medical Center. City of Hope is a national medical center specialized in cancer care and diabetes.We've developed Hope LLM, an agentic application built with Langin and Langraph. Our goal was to transform how physicians interact with patient data by automating patient journey summarization. Physicians frequently face time constraints when reviewing extensive documentation, including PDFs, imaging reports, and ...
From Quora to Poe: Adam D'Angelo on Building Platforms for LLMs and Agents | LangChain Interrupt
LangChain· 2025-06-27 16:44
Adam D'Angelo, co-founder and CEO of Quora, shares insights from building Poe—the AI platform that gives users access to multiple language models and agents under one subscription. He reveals surprising patterns in consumer AI usage, explains how Poe's bot creators are earning millions annually, and discusses why reasoning models are driving growth. D'Angelo also explores the unique challenges of building in AI's rapidly changing landscape, where planning cycles have shrunk from years to just two months. Wa ...
LangChain Academy New Course: Building Ambient Agents with LangGraph
LangChain· 2025-06-26 15:38
Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improv ...
Getting Started with LangSmith (5/6): Automations & Online Evaluation
LangChain· 2025-06-25 01:12
Hi, today we're going to talk about automations and online evaluations in Langmith. Automations are powerful rules you can configure to run over every trace sent to your production application. Online evaluations are a type of automation that help you measure metrics on your application's output.Unlike offline evaluations which we covered in a previous video, online evaluations are run on live production user interactions, not on a curated data set. So let's see how to set up automations. We'll start by ret ...
Getting Started with LangSmith (4/6): Annotation Queues
LangChain· 2025-06-25 01:09
- Code: https://github.com/xuro-langchain/eli5 - Learn more about LangSmith: https://www.langchain.com/langsmith/?utm_medium=social&utm_source=youtube&utm_campaign=q2-2025_onboarding-videos_co - Get started with LangSmith for free: https://smith.langchain.com/ - Docs: https://docs.smith.langchain.com/ ...
Getting Started with LangSmith (3/6): Datasets & Evaluations
LangChain· 2025-06-25 01:05
- Code: https://github.com/xuro-langchain/eli5 - Learn more about LangSmith: https://www.langchain.com/langsmith/?utm_medium=social&utm_source=youtube&utm_campaign=q2-2025_onboarding-videos_co - Get started with LangSmith for free: https://smith.langchain.com/ - Docs: https://docs.smith.langchain.com/ ...
Getting Started with LangSmith (2/6): Playground & Prompts
LangChain· 2025-06-25 00:55
Hi, today we're going to talk about prompt engineering in Langmith. Langmith includes several useful features for optimizing and iterating on your LLM prompts. The first feature we'll be covering is called the prompt playground.The playground is accessible in the lefth hand navigation pane viewable here. However, you can also access the playground through any individual trace containing an LM call. Let's check out that second option using the application we built in our previous video, the explain like I'm ...
Getting Started with LangSmith (1/7): Tracing
LangChain· 2025-06-25 00:47
Hello, my name is Robert and I'm an engineer at Langjang. Welcome to our intro to Langmith. Langmith is an observability and evaluation platform for AI applications.And today we'll be using Langmith to peak under the hood of application that we've made using a feature called tracing. Let's get started. To use Langmith, the first thing you need to do is create an account.I've already connected my Google account, so I'll be using that. Once you've logged into Langmith, you should see a screen that looks like ...
How Rakuten AI for Business AI Builds Production-Ready Agents with LangGraph
LangChain· 2025-06-24 16:30
[Music] So my name is Yuk Kaji and I'm reading the product and engineering and rakuten as a general manager AI for business. So at Rakuten uh we are building a suite of AI product uh that empower both our employee and our customers. So we have built the racketen AI for business to support our business client in essential business operation from market analysis to customer support. So in addition uh we have built our internal generative AI platform designed for over 70 plus uh business across Japan and beyon ...