LangChain Blog

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

6 min read

Featured

How Klarna's AI assistant redefined customer support at scale for 85 million active users

Case Studies 2 min read

Is LangGraph Used In Production?

3 min read

Introducing Interrupt: The AI Agent Conference by LangChain

Harrison Chase 2 min read

Top 5 LangGraph Agents in Production 2024

3 min read

How Klarna's AI assistant redefined customer support at scale for 85 million active users

Klarna's AI assistant is revolutionizing the personal shopping experience, including customer service and productivity. See how they used LangGraph and LangSmith to achieve 80% faster customer resolution times.

Case Studies 2 min read

Benchmarking Single Agent Performance

We explore how increasing the number of instructions and tools available to a single ReAct agent affects its performance, benchmarking models like claude-3.5-sonnet, gpt-4o, o1, and o3-mini across two domains of tasks.

12 min read

How Vizient empowers healthcare providers with reliable GenAI insights using LangGraph and LangSmith

Vizient's GenAI platform helps users manage data to query for information ranging from patient outcomes to clinical benchmarking. See how they used LangGraph and LangSmith for multi-agent system reliability and prompt management.

Case Studies 3 min read

How Infor is Transforming Enterprise AI using LangGraph and LangSmith

See how Infor is using the full LangChain product suite — including LangChain, LangGraph, and LangSmith — to drive enterprise automation for the cloud.

Case Studies 4 min read

Is LangGraph Used In Production?

LinkedIn, Uber, Replit, and Elastic are just a few of the companies using LangGraph for real use cases in production. Learn how they did it below!

3 min read

Introducing Interrupt: The AI Agent Conference by LangChain

Join us this May at Interrupt, LangChain’s inaugural conference where the future of AI agents takes center stage.

Harrison Chase 2 min read

Introducing the LangGraph Functional API

Have you ever wanted to take advantage of LangGraph's core features like human-in-the-loop, persistence/memory, and streaming without having to explicitly define a

7 min read

Exploring Prompt Optimization

By Krish Maniar and William Fu-Hinthorn If you are interested in beta-testing more prompt optimization techniques, fill out interest form here. When we write prompts,

16 min read

Introducing Pytest and Vitest integrations for LangSmith Evaluations

Introducing a new way to run evals using LangSmith’s Pytest and Vitest/Jest integrations.

6 min read

How Captide is redefining equity research with agentic workflows running on LangGraph Platform

Captide’s platform transforms how investment research teams work with financial data. By automating the extraction of insights and metrics from regulatory filings and investor

Case Studies 3 min read

How Minimal built a multi-agent customer support system with LangGraph & LangSmith

In the thriving world of e-commerce, where customer satisfaction can make or break a brand, Minimal is leveraging the LangChain ecosystem to transform how support

Case Studies 4 min read

Introducing ambient agents

Most AI apps today follow a familiar chat pattern ("chat" UX). Though easy to implement, they create unnecessary interaction overhead, limit the ability

6 min read