Neo4j · Company blog · 8.6 a month · 50 posts since May 15, 2026
Nov 5
We’re announcing the Neo4j Ontology Graph Specification, an open-source specification for representing domain knowledge in a machine-readable form that enables interoperability and automation across data, applications, and AI systems.
Nov 3
Simpler, more reliable and secure. Neo4j Connector for Apache Kafka and Confluent v6 is out. It’s simpler to configure, more reliable and more secure for event-driven knowledge graph systems built on Neo4j.
Oct 22
Graph Database Power Without Leaving the Laravel Ecosystem Laravel developers are used to working with Eloquent, the Query Builder, database connections, and familiar application patterns.
Oct 19
The data and knowledge exist. The answer doesn’t.Forged Parts, Photo by Morteza Mohammadi on UnsplashAuthors– François BENSID, CEO Graphicient– Nicolas ROUYER, Manager Solutions Engineering, South EMEA, Neo4jIt’s a Monday morning.
Oct 16
A single account on its own tells you very little. But look at who it sends money to, who those accounts send money to, and suddenly you have got a lot to work with. That’s the idea behind graph embeddings:… Read more →
Oct 9
Check out what's new this week in Neo4j, including Agent Orchestration, GraphRAG, Geospatial Knowledge Graph
Oct 6
Want to deploy a fully functional AI agent quickly? Skip starting from scratch and tap into a repeatable infrastructure, one where context, memory, and reasoning map to your existing stack.
Sep 30
The knowledge layer for enterprise AI: Processes This series is the practical build companion to Jesús Barrasa’s knowledge layer manifesto.
Sep 30
A quick walkthrough from approval to your first running database. You’ve been accepted into the Neo4j Startup Program, congrats.
Sep 24
Turn accumulated learnings into procedures and user profiles, then feed them back into the agentPart 3 of the self-learning multi-agent series. Part 1 covered the tools and hooks.
Sep 23
As an AI application grows, its embeddings can quickly become one of its largest demands on memory. More documents, finer-grained chunks and richer embedding models all increase the amount of vector data your database needs to search.
Sep 23
Somebody asks whether GuardDuty covers every account. The question is about holes in the coverage, not about whether the service is switched on. From a flat resource inventory that is a genuinely annoying question.
Sep 23
Optimizing graph import partitioning based on workers and k-1 coloring algorithm.This article is a generalization of the approach designed by Eric MONK in his article “Mix and batch: a technique for fast, parallel relationship loading in...
Sep 21
The demo looked great. Stakeholders were impressed. Then someone asked the chatbot a real question, and it gave a confident, wrong answer.
Sep 20
Testing Jev (TypeSafe System One) with Navigation DecisonsI built neo4jev as an experiment to navigate a graph, here I explain a bit the why and how.Streamlit app in neo4jev that allows database config, source selection and different...
Sep 18
Check out what's new this week in Neo4j, including NODES 2026, Agent Memory, GraphRAG and Knowledge Layer
Sep 16
Consolidate tribal and enterprise knowledge to succeedYour Security Operations Center (SOC) is overwhelmed and security professionals can’t cope with the myriad of inputs and signals they are faced with.
Sep 15
The winners in fintech won’t buy larger context windows, they will build context rich semantic layers. Here is the math proving why.
Sep 7
The query trap that hides your newest data, and the query shape that brings it back.The girl group as a graph: Beyoncé’s constellation, Kelly’s single thread, and Michelle, present and correct.
Sep 7
Across two deliberately hostile catalogs (278 Census tables on BigQuery and 264 legacy tables on Databricks), a Neocarta semantic layer in Neo4j makes Text2SQL agents faster, cheaper, and more accurate.
Sep 7
In an earlier articles, we looked at multiple ways to ground Agentforce responses in a Neo4j knowledge graph. We focused both on different implementations (Apex actions, External Services, and MCP), as well as the overall agent...
Sep 7
Introducing @neo4j-labs/nams-ai-provider, one package that gives any Vercel AI SDK model persistent, cross-session memory backed by a Neo4j knowledge graph.
Sep 3
Building graphs from unstructured documentsTools are usually (well, at least sometimes) very good at doing what they are designed to do.
Aug 28
Business units, teams, roles, reporting lines. The structure behind the work, built as a graph you can load, query, and explore. Building this at enterprise scale?
Aug 27
We take a look back at the past season of Going Meta, this time with ontologies as the thread running through nearly every episode. This is our recap of Season 3, which Jesús Barrasa and I officially closed out this month.As… Read more →
Neo4j's own blog on neo4j.com, found by the daily check.
AI and agents (31), Developer tools (6), Data engineering (4) in the last six months.
Across Glyph:advisories·awards·calendar·Leaders·marketplaces·problems·quadrant·repos·salaries·socials·standards·sunsets
Listed on Blogs Nov 8, 2026. No changes to its feed, status or cadence since.
Blogsby Glyph