Attention AI startups!! We have some big newsBig news for AI Startups! ๐
We are now elevating our commitment by providing a dedicated team of Field Engineers focused on deep technical engagement.
Brian OโKeefe wrote about what he learned during his few weeks leading this team.
Check it out and apply to join our program today.
https://t.co/xwSDloYRx7
#Startups #AI #GraphIntelligence
โHave you had your Hume training yet?โ
Thatโs the ambition: to be a standard in intelligence analysis worldwide. Together with @neo4j, weโre building tech that helps analysts understand complexity, uncover connections, and protect what matters most.
๐ https://t.co/B95xoK11zv
POV: trying to record a video while the booth is on ๐ฅ
Tomorrow is the last day at #SnowflakeSummit! Are you there? Join us at booth 1415.
And if you are wondering what Sudhir described about virtual graph, check out this blog we released a few days ago : https://t.co/UOpTTrLmvC
Folks, today we're announcing the acquisition of @graph_aware, moving up to the stack, and taking on black-box intelligence tools like Palantir Gotham. Let's go! ๐
For 10+ years GraphAware has been our partner. They're a leader in mission-critical intelligence analysis. Together, as one organization, we're building an open-standards alternative to black-box intelligence tools.
1๏ธโฃ The database belongs to them
2๏ธโฃ The data belongs to them
3๏ธโฃ Every choice they make with it belongs to them
Nothing important is hidden behind proprietary logic. They can see how data moves, understand how results are produced, and trust the system they rely on. This is not theory, this is not a vision, this is not hypothetical. What's so wonderful about GraphAware Hume is that it's already deployed by the Western Australia Police, the European Commission and government agencies across the US, UK, EU, and Australia.
Looking ahead, we're building the best possible open, AI-powered intelligence platform that agencies can deploy on their own terms, own their data on, and build on for years to come. One open-standards stack. Deeper querying. Better performance at scale. A tighter integration between analysis and data.
Welcome, GraphAware!
Today, we are announcing a milestone moment for our company: #Neo4j is acquiring @graph_aware, creating a new generation of open-standards intelligence analysis solutions.
We understand that organizations demand open, explainable approaches to intelligence analysis to support their data sovereignty needs, and we truly believe that GraphAware Hume and Neo4j deliver this: GraphAwareโs intelligence analysis capabilities and Neo4jโs graph intelligence platform will give government agencies a powerful, sovereignty-friendly alternative for collaborative investigation and explainable decision intelligence across complex, connected data.
โFor over a decade, governments have utilized proprietary, black-box intelligence analysis software,โ says Neo4j CEO @emileifrem. โNow they have a legitimate open-standard alternative with GraphAware, powered by the Neo4j Graph Intelligence Platform. GraphAware is already trusted by government agencies worldwide. Bringing it into Neo4j makes it the clear leader in the intelligence analysis space.โ
Emil's blog: https://t.co/etMz0Kd1c1
Donโt miss out on this chat between Emil and Michal Bachman, GraphAware, CEO, where they talk about how the conversation began, what changes to expect, and why open is the only way.
Full interview: https://t.co/Pa1A3V6mwP
#GraphIntelligence #Intelligenceanalysis
It's official: @neo4j has acquired GraphAware.
A milestone, but not the start. Our teams have worked together for more than ten years.
Full announcement: https://t.co/92P8MUpJ6k
Knowledge graphs from your documents, built by an agent. Point @neo4j Document Intelligence at a folder, give context, it proposes the schema, extracts/resolves entities, builds the graph and chat with data
in preview๐https://t.co/x3BoBILN90
#GraphRAG#AgenticAI#KnowledgeGraphs
Call for Speakers - #NODES2026: 15 days left for sending your submission!
Not sure where to start? Yolande Poirier was all in for putting together a video and a blog with practical tips to help you write a strong abstract and feel confident hitting submit.
We know you want to be part of this event, and so do we! Here's some help to help you be more confident and fill in the form!
More tips, info about our annual online event, and submission form:
https://t.co/E1GB88938U
#GraphRAG #ContextGraph #ContextEngineering
๐ Turn documents into a queryable knowledge graph through a guided experience in the Aura console.
We are happy to introduce you to Document Intelligence in Neo4j Aura! ๐
Key Highlights:
โณ๏ธ No coding: Generate a knowledge graph without any graph modeling background or writing extraction code.
โณ๏ธ Guided extraction: Drop in a document, describe what you want extracted in plain English, and watch the graph build itself.
โณ๏ธ Direct query: Chat directly with your graph right in the document intelligence agent to ask complex questions.
Unlock the 90% of your enterprise data living in documents. Watch the demo and get started today!
-Available now in preview inside Neo4j Aura on all cloud providers and tiers-
https://t.co/zrYL2uMCBb
#AgenticAI #GraphIntelligence #Neo4jAura @TekinerFirat@st3llasia
San Francisco ๐ June 11
Happy to be invited to the Vector Space Day 2026: Powered by @@qdrant_engine!
@steveonjava will be talking about #contexgraphs - a great time to meet the community. Don't miss it!
https://t.co/gz3sNBokMi
๐๐ป๐๐ฒ๐ฟ๐ฝ๐ฟ๐ถ๐๐ฒ ๐๐ ๐ฐ๐ฎ๐ป๐ป๐ผ๐ ๐๐๐ผ๐ฝ ๐ฎ๐ "๐บ๐ผ๐๐ ๐ฟ๐ฒ๐น๐ฒ๐๐ฎ๐ป๐ ๐ฟ๐ฒ๐๐๐น๐."
At Vector Space Day SF, @Adobe and @neo4j will show how governed retrieval, GraphRAG, and context graphs make agents faster, safer, and more explainable.
Register: https://t.co/VgxELoVEH4
Still using apoc.periodic.iterate for bulk updates in #Neo4j?
It may be time to switch.
CALL { โฆ } IN TRANSACTIONS now gives you:
๐คฉ cleaner Cypher
๐คฉsafer transaction handling
๐คฉconcurrent execution
๐คฉretry support for transient errors
Big win: less rebinding overhead, better dev experience, and a feature set Neo4j is actively improving.
Batching like a pro now looks a lot more like native #Cypher. https://t.co/dmUDbvOAWE
Excited to launch @neo4j Virtual Graph ๐
Graph reasoning directly on enterprise data. no ETL, no copies, Cypher pushed into Any Lakehouse.
Helping make enterprise data accessible to AI agents.
https://t.co/pIsaNl4UNE
#GraphAI#EnterpriseAI#AIAgents#Snowflake#Databricks
Unleash the power of graph intelligence on the data you already have!
Today, we are introducing Neo4j Virtual Graph: our zero-copy architecture lets you run #Cypher and graph algorithms directly against your data in Snowflake, Databricks, and other cloud data warehouses, without moving a thing.
Get graph-powered insights like multi-hop reasoning, and automatically generate a graph model from your existing tables with a single click.
๐จ Virtual Graph is available now in private preview - you can request access by filling in a form https://t.co/zHVlynPUHb
Watch the entire demo here, https://t.co/V9tB0IHAZl
#VirtualGraph #Neo4j
LEARN, WIN, BUILD - LAST 15 DAYS TO PARTICIPATE!
Attention Devs!
๐คฉ Take the Building Agents in #Neo4j Aura Course in #GraphAcademy https://t.co/Cju035sG39
๐ซฐ Win 100 credits (we have 50k to give away!)
๐ซก Put your $100 Aura credits to work: make your agent smarter!
Details and rules:
https://t.co/HQohn3q3mC
#Aura #Agents
We need your opinion!! And you need a Neo4j beanie :)
Taking the Neo4j Developer Survey 2026 to answer some questions, and 100 unique respondents selected at random will receive a beanie. The survey will close on June 30.
https://t.co/hi0EOZXs9r
Microsoft Fabric gives you unified storage, but tables alone can't show AI how things relate.
Adding #Neo4j Graph Intelligence to your Fabric environment means:
โ Natural language queries across your OneLake data (no code needed)
โ Real-time fraud detection, churn prediction & supply chain visibility
โ Better reasoning for your #Azure OpenAI models
โ Zero ETL.
https://t.co/dTwC2hHz8b
Demo https://t.co/nFX6XsQlDj
If youโre looking to build a smart #LLM, you need a knowledge graph.
RAG + a knowledge graph: A powerful combination to organize your structured and unstructured data so that your LLM can give contextual answers.
The key to start? Download the Manning book โEssential GraphRAGโ by Tomaz Bratanic and Oskar Hane (we extended the free download period!)
https://t.co/zyRroNDVfE
#GraphRAG #Neo4j