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This announcement details the general availability of Neo4j's Document Intelligence feature, which enables automated extraction of entities and relationships from unstructured documents to populate knowledge graphs. By integrating this capability directly into the AuraDB console, the tool allows applications and AI agents to access richer contextual signals without requiring custom code or extensive token usage.
Easily build a knowledge graph from your existing documents with Document Intelligence
Today, we are announcing the upcoming release to general availability (GA) of Document Intelligence in Neo4j AuraDB on the Free, Professional, and Business Critical tiers. With Document Intelligence, you can build a knowledge graph from existing documents, including plain text… Read more →
Today, we are announcing the upcoming release to general availability (GA) of Document Intelligence in Neo4j AuraDB on the Free, Professional, and Business Critical tiers. With Document Intelligence, you can build a knowledge graph from existing documents, including plain text files, PDFs, and Microsoft Word files, without writing a single line of code. Documents that previously sat unused and unqueried can now be searched and acted upon. Documents hold the context behind many business decisions. Contracts describe obligations, reports record risks, and policy documents explain how a business operates. The connections between those documents matter. A…
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