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
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,
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.
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
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.
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
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.
Introducing OpenTelemetry support for LangSmith LangSmith now supports OpenTelemetry for distributed tracing and observability.
Easier evaluations with LangSmith SDK v0.2 We've released a v0.2 of the LangSmith SDKs with various evaluations and performance improvements.
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
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.
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.
