LangChain Blog (Page 10)

Planning for Agents

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.

In the Loop 6 min read

Improving core tool interfaces and docs in LangChain

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.

By LangChain 4 min read

How We Deployed our Multi-Agent Flow to LangGraph Cloud

Read this guest blog post on how to create a LangGraph multi-agent flow via React & LangGraph Cloud.

5 min read

Why you should outsource your agentic infrastructure, but own your cognitive architecture

In this third installment in our "In The Loop" series, learn why you should tailor your cognitive architecture to be application-specific, alongside running better infrastructure for your agentic apps.

Harrison Chase 3 min read

[Week of 7/8] LangChain Release Notes

See new use cases for building & deploying with LangGraph Cloud, revamped LangGraph docs, and more on self-improving evaluators in LangSmith. Plus, hear the latest agents trends — and learn more about our upcoming agents-themed hackathon.

4 min read

LangSmith for the full product lifecycle: How Wordsmith quickly builds, debugs, and evaluates LLM performance in production

Learn how WordSmith, an AI assistant for legal teams, uses LangSmith across its entire product lifecycle — from prototyping, to evaluation, to debugging, to experimentation.

Case Studies 5 min read

What is a "cognitive architecture"?

The second installment in our "In the Loop" series, focusing on what cognitive architecture means.

Harrison Chase 3 min read

Jockey: A Conversational Video Agent Powered by Twelve Labs APIs and LangGraph

Guest blog post on how Jockey, a conversational video agent, uses LangGraph and Twelve Labs API for more intelligent video processing.

6 min read

Improving Memory Retrieval: How New Computer achieved 50% higher recall with LangSmith

New Computer used LangSmith to improve their memory retrieval system, achieving 50% higher recall by tracking regressions in comparison view and adjusting conversation prompts accordingly.

Case Studies 4 min read

What is an AI agent?

Introducing a new series of musings on AI agents, called "In the Loop".

Harrison Chase 4 min read

Announcing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliably

Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.

By LangChain 6 min read

Aligning LLM-as-a-Judge with Human Preferences

Deep dive into self-improving evaluators in LangSmith, motivated by the rise of LLM-as-a-Judge evaluators plus research on few-shot learning and aligning human preferences.

By LangChain 5 min read