Neo4j's Aura Graph Analytics now supports GraphSAGE, an inductive node embedding method that generates embeddings for unseen nodes without retraining, addressing the cold-start problem in growing grap…
An engineer detailed the trade-offs between vector databases and knowledge graphs for LLM applications, arguing that the choice should be based on query type rather than hype. The article scores both …
A developer debugging a knowledge graph pipeline on an NVIDIA DGX Spark found that a 49-billion-parameter open-weight reasoning model was silently generating long internal monologues, causing apparent…
A developer at a PropTech platform is building Company/OS, a plug-and-play AI layer that embeds into existing CRMs to provide natural language query interfaces, rather than replacing the CRM. The syst…
A new arXiv paper argues for ingest-time semantic compilation over query-time interpretation in RAG, reporting 85.2% correctness on compiled claims versus 72.5% for chunk-based RAG. Another study intr…
An engineer at Dremio argues that graphs have solved three problems in AI engineering—knowledge graphs for symbolic structure, GraphRAG for retrieval, and LangGraph for agent control flow—and proposes…
Neo4j announced that every Aura instance now includes a hosted Model Context Protocol (MCP) server, enabling AI clients like Claude Desktop and Cursor to query graph data with zero setup and OAuth-bas…
FluxTrace, an open-source real-time financial security engine, fixed unbounded recursion and taint drift in its graph-based money laundering detection system using Gemini 1.5 Pro. The team diagnosed a…
Neo4j published a technical guide for building a Neo4j-backed agent on IBM watsonx Orchestrate, combining a native Orchestrate agent that queries Neo4j via the Model Context Protocol (MCP) with a Lang…
Microsoft Copilot Studio can now be wired to Neo4j with per-user Okta SSO, enabling identity-scoped GraphRAG where the database enforces access based on the signed-in user's Okta groups mapped to Neo4…
Neo4j, a graph database company, reports that graph technology can cut AI hallucination rates by 44% and is essential for enterprise AI agents to reason over connected data. The technology stores data…
A.L.I.C.E. Brain Core, a new HTTP API service, provides memory and reasoning for large language model (LLM) applications by using a graph database to store and retrieve conversation context. The servi…
Semantica, a Python framework with more than 8,000 GitHub stars, is positioning agent memory as an audit tool by recording decisions as first-class nodes with W3C PROV-O provenance and bi-temporal fac…
Semantica, an open-source graph-infrastructure project for AI agents, has climbed to nearly 8,000 stars on GitHub, reviving the semantic web stack (RDF, SPARQL, OWL, SHACL, PROV-O) to provide audit tr…
A developer built Dataset Automator, a multi-agent MLOps control center that converts tabular data into production-ready ML models, financial ROI reports, and EU AI Act-compliant cryptographic attesta…
A developer has built an AI Operating System for Organizations that converts scattered data from GitHub commits, pull requests, and issues into a connected graph, enabling teams to query information s…
A developer with 25 years in enterprise infrastructure argues that graph engineering is essentially a new name for entity-relationship thinking, a core discipline of enterprise architecture. The devel…
Gilead Sciences Inc. director of global product security Thomas Luu said his team uses graph neural networks with Neo4j to surface hidden fraud networks in pharmaceutical anti-counterfeiting, detectin…
Neo4j's Graph ML and GenAI Research team introduced the Meta Knowledge Graph (MKG), a graph-structured context layer that supplies AI agents with operational metadata—semantic descriptions of enterpri…
Neo4j released AgentMemory for .NET, bringing graph-native short-term, long-term, and reasoning memory to Microsoft Agent Framework and Semantic Kernel developers, and published recordings from its Gr…