A developer outlines a "dense precision" enterprise AI architecture that replaces monolithic data dumps with temporal metadata tagging, cross-encoder reranking, and GraphRAG knowledge graphs. The prop…
A developer built a portfolio chat agent that refuses to answer unless every sentence cites a fact from sources they control, using Mastra for the workflow, Neo4j for a knowledge graph, an OpenAI-comp…
Graph-based contextual retrieval, which uses GraphRAG to traverse a context graph rather than relying on vector similarity alone, improves AI agent accuracy by following explicit relationships between…
Neo4j principal consultant Jesús Barrasa's knowledge-layer series published a second chapter on modeling enterprise processes as a graph rather than a BPMN diagram, using AcmeBank's SMB loan approval …
A developer building a Graph RAG system over corporate entity data found that the architecture's failures cluster in two places: query routing between graph traversal and vector search, and the gradua…
Collibra BV launched four runtime governance capabilities — Live Map, Maestro, Guardian Agents and Agent Contracts — to govern enterprise AI agents that take action across systems, CEO and co-founder …
Neo4j Labs' meta-knowledge-graph repository adds a consolidation layer that converts accumulated agent session learnings into reusable skills and user profiles, addressing the problem where twelve ses…
Microsoft Fabric and Neo4j Graph Intelligence combine OneLake Delta tables with connected property graphs to give AI Copilots multi-hop relationship intelligence for real-time retail recommendations, …
Neo4j published a comparison of vector RAG and GraphRAG, stating that GraphRAG has been shown to more than double factual accuracy while offering better token efficiency and a traceable path back to e…
A developer has released Graphiti Local, a tool that runs the Graphiti agent-memory framework on a single embedded file using Ollama and LadybugDB, the maintained fork of the deprecated Kuzu graph dat…
A developer built DecisionTraceRecorder, a HookProvider library on top of Strands Agents that automatically captures an AI agent's reasoning chain with zero changes to existing tools and stores it in …
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 Head of Product Innovation & Developer Strategy Michael Hunger built neo4jev, an open-source experiment that uses TypeSafe.AI's Jev classification model to navigate a Neo4j knowledge graph one r…
A developer built a hybrid Retrieval-Augmented Generation system that pairs Neo4j's graph database with vector memory using ChromaDB or FAISS, orchestrated through LangChain, to handle multi-hop reaso…
Neo4j published the NODES 2026 agenda for its free 24-hour virtual conference on November 12, featuring 100+ speakers across AI Engineering, Data Intelligence and Modern Applications tracks, alongside…
Neo4j announced new enterprise AI capabilities, including Neo4j GraphAware Financial Crime Intelligence (FCI) for graph-powered financial crime detection and Neo4j Virtual Graph, currently in Preview …
Neo4j announced that Virtual Graph, its zero-copy knowledge graph capability over Snowflake, Databricks, and Google BigQuery data, is in public preview for every Aura customer and will reach General A…
Security Operations Centers are adopting Agentic AI faster than heavily regulated sectors like healthcare, but the tools fail when they lack tribal knowledge and environmental context, according to a …
Developer luckmanqasim built PlanLint, an open source AEC compliance checker that restricts large language models to extracting structure and labels while a pure-Python checker serves as the sole verd…
Neo4j published a guide distinguishing three graph technologies — graphs, knowledge graphs, and context graphs — describing them as a progression from data to knowledge to intelligent action. Neo4j st…