LangChain Blog

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

Featured

Top 5 LangGraph Agents in Production 2024

3 min read

Launching Long-Term Memory Support in LangGraph

2 min read

How Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmith

Case Studies 5 min read

Acxiom's use of LangSmith for enhanced audience segmentation

See how Acxiom debugged their agent application with LangSmith and built a scalable solution for their user base, complete with long-term memory, dynamic updates, and attribute-specific search.

Case Studies 3 min read

Structured Report Generation Blueprint with NVIDIA AI

LLMs are reaching a point of maturity where they are sufficiently capable of powering sophisticated AI agents. The agents they power are not free-range, pseudo-AGI-like

3 min read

Top 5 LangGraph Agents in Production 2024

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,

3 min read

LangChain State of AI 2024 Report

Dive into LangSmith product usage patterns that show how the AI ecosystem and the way people are building LLM apps is evolving.

By LangChain 6 min read

Custom Authentication and Access Control for LangGraph Platform

Today we're introducing custom authentication and resource-level access control for Python deployments in LangGraph Cloud and self-hosted environments. This feature lets you integrate

4 min read

How AppFolio transformed property management workflows with Realm-X, built using LangGraph and LangSmith

See how AppFolio's AI-powered copilot Realm-X has saved property managers over 10 hours per week. Learn how they improved Realm-X's performance 2x using LangSmith and built an agent architecture with LangGraph.

Case Studies 4 min read

Making it easier to build human-in-the-loop agents with interrupt

While agents can be powerful, they are not perfect. This often makes it important to keep the human “in the loop” when building agents. For

4 min read

Command: A new tool for building multi-agent architectures in LangGraph

Learn about Command, a new tool in LangGraph that helps facilitate multi-agent communication.

2 min read

Introducing OpenTelemetry support for LangSmith

LangSmith now supports OpenTelemetry for distributed tracing and observability.

By LangChain 4 min read

Easier evaluations with LangSmith SDK v0.2

We've released a v0.2 of the LangSmith SDKs with various evaluations and performance improvements.

By LangChain 4 min read

Semantic Search for LangGraph Memory

Following our launch of long-term memory support, we're adding semantic search to LangGraph's BaseStore. Available today in the open source PostgresStore

langgraph 3 min read

How Cleric’s AI SRE leveled up with continuous learning through LangSmith

Cleric is an AI SRE teammate that identifies issues using existing observability tools and infrastructure. See how they used LangSmith to investigate their production issues effectively.

Case Studies 4 min read

Introducing ambient agents

Featured

Top 5 LangGraph Agents in Production 2024

Launching Long-Term Memory Support in LangGraph

Announcing LangChain v0.3

How Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmith

Acxiom's use of LangSmith for enhanced audience segmentation

Structured Report Generation Blueprint with NVIDIA AI

Top 5 LangGraph Agents in Production 2024

LangChain State of AI 2024 Report

Custom Authentication and Access Control for LangGraph Platform

How AppFolio transformed property management workflows with Realm-X, built using LangGraph and LangSmith

Making it easier to build human-in-the-loop agents with interrupt

Command: A new tool for building multi-agent architectures in LangGraph

Introducing OpenTelemetry support for LangSmith

Easier evaluations with LangSmith SDK v0.2

Semantic Search for LangGraph Memory

How Cleric’s AI SRE leveled up with continuous learning through LangSmith