Producing structured results (e.g., to populate a database or spreadsheet) from open-ended research (e.g., web research) is a common use case that LLM-powered agents are well-suited to handle. We've just launched LangGraph templates, which provide out-of-the-box examples for popular use cases like this one. Here, we give an overview of our "data enrichment agent" LangGraph template: we show how to quickly get started using it in LangGraph Studio, modify the template configurations, and use it with the LangGraph API.

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