Easily build a knowledge graph from your existing documents with Document Intelligence

Neo4j announced the upcoming general availability of Document Intelligence for AuraDB Free, Professional, and Business Critical tiers, enabling users to create knowledge graphs from text, PDF, and Word documents without code. Building on its preview release, the feature can process hundreds of documents through resilient background jobs, extract information from text, images, and tables, and connect new findings to existing AuraDB graph data through entity resolution. Users can define and refine extraction models with an interactive assistant and visual canvas, while sampled documents help identify recurring entities, properties, and relationships across a collection. The resulting graph combines extracted entity relationships with a lexical layer of document chunks and embeddings, allowing applications and AI agents to retrieve both connected business context and supporting source passages. Neo4j plans to add API, command-line, and Model Context Protocol access, along with improved controls for entity resolution, re-importing updated sources, testing, and broader enterprise deployment options.

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