Introducing Document Intelligence: From documents to a knowledge graph, right inside Aura

Document Intelligence, a new feature from Neo4j Aura, is designed to transform documents into a queryable knowledge graph, streamlining the process of extracting and organizing data without the need for extensive technical knowledge or complex extraction pipelines. This tool addresses the challenge faced by AI systems that struggle to reason over data contained within unstructured documents by utilizing a guided experience that allows users to drop in files, describe the desired data extraction in plain English, and automatically generate a graph model. Document Intelligence enables users to interact with their data seamlessly, ensuring that language models can access clean, structured, and connected data for accurate reasoning. By bridging the gap between documents and structured data, the feature provides a powerful solution for enterprises looking to harness the full potential of their data assets, paving the way for more efficient and insightful AI-driven decision-making processes.

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