Neo4j detailed a GraphRAG-based generative AI framework it built internally to ground LLM answers in a Neo4j Aura knowledge graph, combining vector search with an entity layer of types such as Documen…
Neo4j published a startup guide for building graph applications on its Aura cloud database, recommending installation of the Neo4j CLI and agent skills first, then using the neo4j-getting-started-skil…
Neo4j launched the Agent Memory Service (NAMS), a managed cloud service providing persistent, structured memory for LLM agents using a graph database with native vector indexes. The service offers sho…
INTERPOL's 2026 Global Financial Fraud Threat Assessment reports global fraud losses reached $442 billion in 2025, with financial fraud now among the top five global crime threats. A new graph-enriche…
Neo4j announced Document Intelligence, a new feature in preview inside Neo4j Aura that converts documents into a queryable knowledge graph without requiring graph modeling expertise or extraction code…
Neo4j announced Neo4j Virtual Graph, a zero-copy architecture that lets enterprises run Cypher queries and graph algorithms directly on data in Snowflake, Databricks, and other databases without movin…