You have text. Now what? In this module, you’ll investigate the structure of your documents, choose a parsing strategy, design a graph data model, and populate a Neo4j database you can query.
The goal isn’t just to parse — it’s to make deliberate choices about what goes into your graph and why. Different models answer different questions.
You’ll learn:
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How to investigate document structure before writing a single line of parsing code
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The difference between a metadata graph, an entity graph, and a hybrid
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How to parse structured fields with regex, LLMs, or a combination
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How to design a data model that supports the questions you want to ask
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How to import parsed data into Neo4j and verify the result
This is where raw text becomes a queryable graph.