LangGraph - Own AI App Business Logic - 02 Graph Methods For Improvement -  

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LangGraph - Own AI App Business Logic - 02 Graph Methods For Improvement - #ai #aiagents #llm
In LangGraph, you can execute your compiled graph using three primary methods:
- invoke(): Executes the entire graph in a single run and returns the final output once the entire process is completed.
Use Case: When you need the final result of the workflow without intermediate outputs.
- stream(): Runs the graph interactively, allowing you to receive outputs at each node as they are processed, rather than waiting for the entire graph to complete.
Use Case: When you need to interact with or monitor the workflow step-by-step.
- batch(): Executes the graph for multiple inputs simultaneously, processing them in parallel.
Use Case: When you need to process several inputs at once, such as handling multiple user queries.
These methods allow you to control how and when you get results from your workflow, making LangGraph versatile for different scenarios.
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