Broadcom released the largest set of Spring security updates in the framework's history on June 8, 2026, prompted by a 1,700% jump in CVE reports driven by AI-assisted vulnerability scanning. The most…
A developer running 2asy.ai's filing pipeline built a local LLM rig to escape API costs, but found that OpenAI's batch API outperformed it for large-scale single-document extractions. The local rig re…
Neo4j released Neocarta, a Python library and MCP server, to build graph-based semantic layers on GCP BigQuery and Knowledge Catalog for agentic AI applications. The tool maps database metadata and bu…
The first Agents and APIs developer meetup in Mumbai on May 23 featured four talks on building with agents and APIs, including practical steps for making APIs agent-ready, building agentic APIs, and t…
Neo4j acquires GraphAware, integrating its Hume platform to offer governments an open-standards alternative to proprietary tools like Palantir Gotham. The company also launches Neo4j Virtual Graph for…
Neo4j's director of partner marketing explains the differences between graphs, knowledge graphs, and context graphs in a three-part series, highlighting how each builds on the previous to provide conn…
Neo4j's director of partner marketing explains in a blog post how graphs, knowledge graphs, and context graphs help customers build AI-powered applications by connecting data, creating shared understa…
Neo4j's director of partner marketing argues that enterprise AI success depends on an ecosystem of cloud, data, and AI partners, with graph technology providing the connected context layer to ground A…
A developer has built a production-grade AI trading bot for Polymarket that operates autonomously with persistent memory, server-side event loops, and native tool integration. The system uses a multi-…
Neo4j acquires GraphAware, a provider of intelligence analysis software for government agencies, to build an open-standard alternative to proprietary tools like Palantir Gotham. The deal addresses gro…
Databricks and Neo4j have partnered to create a next-generation digital twin that combines operational data with graph-based asset topology, enabling real-time fault propagation analysis and fleet-wid…
Databricks and Neo4j have partnered to build a retail AI assistant that combines a governed lakehouse foundation with a connected knowledge graph to improve consumer trust. The assistant uses a two-ag…
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…
SynapCores has launched an AI-native database that unifies graph traversal, vector similarity, and LLM inference into a single execution engine, eliminating the need for multiple systems and round-tri…
Researchers introduced Reflection-Augmented Scaling (RAS), a method that uses execution error messages from databases to improve Cypher query generation through in-context learning. Testing across thr…
Basic vector search is inadequate for enterprise AI pipelines and promotes GraphRAG, a hybrid retrieval approach combining vector search with graph databases. It describes a Spring AI and Neo4j implem…
At HumanX, Neo4j CTO Philip Rathle discussed with Ryan how knowledge context enhances AI agents, arguing that a model-only approach is unsuitable for enterprises due to issues like stale training data…
This summary is based on the provided article. The second edition of *Unlocking Data with Generative AI and RAG* by Keith Bourne expands its coverage to include agentic RAG, graph retrieval, semantic …