What is LangGraph?
Langraph is an open-source framework designed to build applications with language models (LLMs) using a graph-based approach. LangGraph is used to create AI Agent that use to do automation tasks. It allows developers to create workflows where tasks are broken into nodes, each representing a specific function, such as calling an LLM, executing a tool, or interacting with APIs. So let’s see components of LangGraph.
Key Components of LangGraph
State: In Langraph, state refers to the shared context or data passed and updated as a workflow progresses through its nodes. The state encapsulates all the information the graph or workflow needs to function effectively, such as input data, intermediate results, and metadata about execution.
In short state is just a class that stores the information about the current processing and that is being transferred to another node when calling another node.
Node: In Langchain, a Node is your custom logic for processing the request. It can be a function, tool, or any LLM.
Edge: An edge defines the relationship and flow between nodes. It connects different nodes. Some reserved nodes are also in the LangGraph called START and END nodes. That is used in the starting and ending of the graph.
Conditional edge: A conditional edge in Langraph determines the next node to execute based on a condition or decision logic. Unlike a normal edge, which unconditionally connects one node to the next, a conditional edge dynamically selects the subsequent node at runtime by evaluating the current state or other criteria.
Looping Edge: A looping edge in LangGraph is an edge that connects a node back to itself or to a preceding node in the graph, creating a loop. It is used to enable iterative workflows where a particular task or series of tasks need to be repeated until a specific condition is met.
Conclusion
LangGraph is a powerful and flexible framework for developing complex, stateful applications using large language models . By mastering its core concepts—such as nodes, edges, and state management—beginners can harness its capabilities to build robust workflows. Stay tuned to learn LangGraph.
Also Read: How to make an appointment bot using Langchain and Google Sheets in Python easily
