📄 Upload your documents, get a knowledge graph — Neo4j's new "Document Intelligence" feature in Aura makes it that simple! Title: Introducing Document Intelligence: From documents to a knowledge graph, right inside Aura URL: 📦 Overview Neo4j has added "Document Intelligence" to its fully managed graph database service Aura. Upload unstructured documents like PDFs, contracts, or technical docs, and the platform automatically extracts entities, resolves duplicates, and constructs a knowledge graph — all without writing a single line of code. ❓ Challenges Solved Most enterprise data is trapped in unstructured documents. Building knowledge graphs from this data previously required complex NLP pipelines, LLM-based entity extraction, entity resolution, and graph schema design — limiting knowledge graph adoption to specialized technical teams. 💡 Methodology & Proposed Approach The feature uses LLM-based entity extraction to identify people, organizations, concepts, and their relationships. Entity resolution merges duplicate references across documents into unified graph nodes. The system infers graph schemas from extracted relationships and stores everything in AuraDB, ready for immediate use with Aura Agent, GenAI Copilot, and GraphRAG pipelines. 🛠 Use Cases - Legal teams automating compliance checks by extracting obligation networks from contract collections - Pharmaceutical companies structuring molecule-disease relationships from clinical trial reports - Enhancing RAG accuracy by supplementing vector search with structural relationships that graphs uniquely capture #KnowledgeGraph# #Neo4j#