The World's Leading Graph Intelligence Platform.
Developers: https://dev.neo4j.com/developerbsky. Our community: https://dev.neo4j.com/communitybsky
Same handle on all other platforms.

@neo4j.com
The World's Leading Graph Intelligence Platform.
Developers: https://dev.neo4j.com/developerbsky. Our community: https://dev.neo4j.com/communitybsky
Same handle on all other platforms.
Agentforce owns the conversation. Neo4j #AuraAgent owns the graph. One sends a question over MCP, the other traverses the data and returns a grounded answer. No Cypher on the Salesforce side.
https://bit.ly/3TFipXS
What you were waiting for: turn your existing documents into rich knowledge graphs without writing a single line of code :)
🔜We are thrilled to share that the general availability for Document Intelligence, as part of Neo4j AuraDB, is coming soon!
https://bit.ly/4zoZ6RX
"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." claims Mounir Babari.
Full benchmark? https://bit.ly/4APuw5a
If you don't know what a graph visualization is, stay here:
🌸 Neo4j Bloom
📋 Neo4j Dashboards
📚 Neo4j Visualization Library
Take a deep dive into #GraphVisualization, how it helps your workflow, and how to use it.
A blog to share and save :)
https://bit.ly/4hJywf7
Working with Dates and Durations: Use Neo4j temporal types to filter, compute, and search date-based data
https://bit.ly/3VYz7lC
Check out this course.
Getting an #AI application into production? It's only one part of the journey. We know challenges shift right away.
One graph behind one application becomes dozens of workloads across teams, tenants, and environments.
Check out #Neo4j capabilities that address #AI scalability.
https://bit.ly/4yg1sSR
This guide breaks down what a decision trace actually records: its outcome, each reasoning step, every tool call, and its result, and links to the entities and conversations the decision drew on. All of it is stored in a context graph.
https://bit.ly/46t2xuh
We really feel you dont want to miss this workshop, and you should invite your friends to it! #sharingisCaring
Discover why AI agents do not hallucinate because of bad prompts but because of bad architecture.
Understand centrality algorithms in 2 hours with #GraphAcademy!
Six loose families, and the algorithms inside a family answer similar questions. Which family is the right one for an analysis?
Today, we are introducing Neo4j GraphAware Financial Crime Intelligence - one connected, graph-native foundation for modern financial crime operations.
Details and demo:
https://bit.ly/4AgLzwU
Security is the part most teams skip when building agentic AI. Today, we show you how to turn your graph into a policy engine your agents can actually trust - covering #MCP, #OAuth2, and the new #AuthZEN standard.
https://youtube.com/live/6k096_wfHCY #agenticai #knowledgegraph @indykite.bsky.social
Define and enforce a graph schema using graph types in #Neo4j!
6 lessons across 1 module-start today!
Your agent can query the knowledge graph. Can it read the CEO's salary? Delete an asset with zero trace? Break GDPR without anyone knowing?
#RBAC won't save you. Your #graph can. Join us next week:
https://youtube.com/live/6k096_wfHCY
#Neo4j #AgenticAI @indykite.bsky.social
How graph databases can supercharge your knowledge base? Zach explores Karpathy’s LLM wiki recipe, showcases ki (open source), and shares research from Newcastle University proving agents achieve 2x better precision/recall and major gains in truthfulness and relevancy. https://bit.ly/4ylrBza
Weekend of building!
Got Aura credits? Save this guide on how to start building 🚀
Install the agent skills
Build something in one sitting
Size your instance - don't guess! ;)
1operating structure - Business units, teams, roles, reporting lines, modeled in #Neo4j.at go deeper
1st one? Operating structure - Business units, teams, roles, reporting lines, modeled in #Neo4j.
This layer answers organizational questions. https://bit.ly/4gnNlV4
A practical, engineering-focused approach to building a semantic layer on Neo4j with ontology at the core, with Jesús Barrasa.
Webinar on demand:
https://bit.ly/4frB8NB