I'm using LangGraph's parallel execution pattern with Send for fan-out, and accumulating results in state using operator.or_ with a dict that has tuple keys: httpx: 0.28.1 jsonpatch: 1.33 orjson: 3.11 ...

I am trying to run a graph that uses the map-reduce pattern (with Send API) and a runtime context at the same time. This works perfectly fine when running the graph locally with graph.invoke(). The ...

LangChain and LangGraph have reached their first major version milestones, introducing enhanced features for AI agent development and execution, according to the LangChain team. LangChain and ...

LangChain raised $125 million at a $1.25 billion valuation, the company announced on Monday. TechCrunch reported in July that the provider of a popular open source framework for building AI agents was ...

Enterprises today are moving beyond simple proof-of-concept chatbots. Modern AI systems need to be reliable, always available, and smart enough to handle complex conversations, policies, and ...

The emerging field of AI orchestration just got an additional boost of confidence with the alpha release of LangChain’s two flagship platforms, LangGraph and LangChain version 1.0. Graduating to a 1.0 ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

LangChain, whose AI software helps developers build applications using models like OpenAI’s GPT-4, has raised $100 million in funding at a $1.1 billion valuation, four sources familiar with the deal ...