See what we released for LangGraph.js and Python over the past few weeks to speed up development workflows and gain more control at every level of your graph.| LangChain Blog
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 issues are handled. Minimal AI agents are delivering 80%+ efficiency gains over a broad variety of E-commerce stores while improving customer satisfaction. This year, Minimal| LangChain Blog
Most AI apps today follow a familiar chat pattern ("chat" UX). Though easy to implement, they create unnecessary interaction overhead, limit the ability of us humans to scale ourselves, and fail to use the full potential of LLMs. Over the past six months, we've been exploring a different approach at| LangChain Blog
2024 was the year that agents started to work in production. Not the wide-ranging, fully autonomous agents that people imagined with AutoGPT. But more vertical, narrowly scoped, highly controllable agents with custom cognitive architectures. It's still not easy to build these agents - but it's entirely possible. We launched LangGraph| LangChain Blog
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 Blog
Challenge As global commerce accelerates, Adyen, a publicly-traded financial technology platform, is helping large companies like Meta, Uber, H&M, and Microsoft achieve their ambitions faster by providing end-to-end payments capabilities, data-driven insights, and financial products in a single global solution. With more merchants signing on and with increased transaction| LangChain Blog
Elastic, a leading search analytics company, serving over 20k customers worldwide, enables organizations to securely harness search-powered AI so anyone can find the answers they need in real-time using all their data, at scale. By integrating AI with search technology, the company facilitates the discovery of actionable insights from large| LangChain Blog
See how Rexera migrated to LangGraph to create a robust quality control agent for real estate workflows, significantly improving their LLM response accuracy.| LangChain Blog
This is a guest blog post written by Sam and Connor at Unify. Unify is reinventing how go-to-market teams work using generative AI. As part of this transformation, they are launching a new agents feature today (powered by LangGraph and LangSmith). We had the pleasure of learning more about the| LangChain Blog
Today, we are excited to announce the first steps towards long-term memory support in LangGraph, available both in Python and JavaScript. Long-term memory lets you store and recall information between conversations so your agent can learn from feedback and adapt to user preferences. This feature is part of the OSS| LangChain Blog
See how Replit built their agents atop LangGraph and integrated LangSmith to pinpoint issues, improve the performance of their agents, and enable human-in-the-loop workflows.| LangChain Blog
Today we are excited to announce LangGraph templates, available in both Python and JS. These template repositories address common use cases and are designed for easy configuration and deployment to LangGraph Cloud. The best way to use these is to download the newest version of LangGraph Studio, but you can| LangChain Blog
See how Paradigm used LangSmith and LangChain to build, iterate, and monitor their AI agents.| LangChain Blog
Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.| LangChain Blog
See how Podium tests across the lifecycle development of their AI employee agent, using LangSmith for dataset curation and finetuning. They improved agent F1 response quality to 98% and reduced the need for engineering intervention by 90%.| LangChain Blog
This is our second post focused on UX for agents. We discuss ambient background agents, which can handle multiple tasks at the same time, and how they can be used in your workflow.| LangChain Blog
LangGraph Studio provides a specialized agent IDE for visualizing, interacting with, and debugging complex agentic applications. See how to use it on your desktop today.| LangChain Blog
At Sequoia’s AI Ascent conference in March, I talked about three limitations for agents: planning, UX, and memory. Check out that talk here. In this post I will dive deeper into UX for agents. Thanks to Nuno Campos, LangChain founding engineer for many of the original thoughts and analogies| LangChain Blog
We ran a few experiments, which show how few-shot prompting can significantly enhance model accuracy - especially for complex tasks. Read on for how we did it (and the results).| LangChain Blog
See how an AI-powered employee for enterprise analytics used the LangSmith playground and debugging features to quickly identify LLM issues and to generate complex research reports.| LangChain Blog
The fourth installment in our "In the Loop Series," in which we talk about what planning means for an agent and how to improve it.| LangChain Blog
See our latest improvements to our core tool interfaces that make it turn any code into a tool, handle diverse inputs, enrich tool outputs, and handle tool errors effectively.| LangChain Blog
Learn how WordSmith, an AI assistant for legal teams, uses LangSmith across its entire product lifecycle — from prototyping, to evaluation, to debugging, to experimentation.| LangChain Blog
The second installment in our "In the Loop" series, focusing on what cognitive architecture means.| LangChain Blog
In 2023 we saw an explosion of interest in Generative AI upon the heels of ChatGPT. All companies - from startups to enterprises - were (and still are) trying to figure out their GenAI strategy. "How can we incorporate GenAI into our product? What reference architectures should we be following?| LangChain Blog
Last week OpenAI released a ChatGPT endpoint. It came marketed with several big improvements, most notably being 10x cheaper and a lot faster. But it also came with a completely new API endpoint. We were able to quickly write a wrapper for this endpoint to let users use it like| LangChain Blog
Francisco Ingham and Jon Luo are two of the community members leading the change on the SQL integrations. We’re really excited to write this blog post with them going over all the tips and tricks they’ve learned doing so. We’re even more excited to announce that we’| LangChain Blog