LangChain

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

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

How Airtop built web-automation for AI agents powered by the LangChain ecosystem

See how Airtop, which provides browser automation for AI agents, built a flexible agent architecture with LangGraph and debugged and refined prompts in LangSmith.

Case Studies 3 min read

LangSmith: Redesigned product homepage and Resource Tags for better organization

LangSmith's homepage is now organized into Observability, Evaluation, and Prompt Engineering. Learn why we organized the homepage like this. Plus, see our latest Resource Tags updates.

4 min read

How Dun & Bradstreet’s ChatD&B™ uses LangChain and LangSmith to deliver trusted, data-driven AI insights

Learn how Dun & Bradstreet, a leading financial data analytics company, empowers global clients with business data — from credit risk to ownership structures — to make better decisions using their AI assistant, Chat D&B. See how LangChain and LangSmith have helped Dun & Bradstreet on their journey.

Case Studies 4 min read

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

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

How Airtop built web-automation for AI agents powered by the LangChain ecosystem

LangSmith: Redesigned product homepage and Resource Tags for better organization

How Dun & Bradstreet’s ChatD&B™ uses LangChain and LangSmith to deliver trusted, data-driven AI insights

Promptim: an experimental library for prompt optimization

Introducing Prompt Canvas: a Novel UX for Developing Prompts

Composio’s SWE agent advances open-source on SweBench with a 48.6% score using LangGraph and LangSmith