Langgraph: ’s ecosystem While LangGraph

LangGraph ’s ecosystem While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with: LangSmith — Helpful for agent evals and observability. Learn how to build an AI assistant using LangGraph to calculate solar panel energy savings, showcasing advanced workflows, tools… LangGraph is a library within the LangChain ecosystem that provides a framework for defining, coordinating, and executing multiple LLM agents (or chains) in a structured and efficient manner. Each agent can have its own prompt, LLM, tools, and other custom code to best collaborate with the other agents. That means there are two main considerations when thinking about different multi-agent workflows: What are the multiple independent agents? How are those agents connected? This thinking lends itself incredibly well to a graph representation, such as that provided by langgraph . In this approach, each agent is a node in the graph, and their connections are represented as an edge ...