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Rewire Your Integration Strategy: A Graph-First Approach With Neo4j and AI - Graph Database & Analytics

Neo4j @neo4j.com · 2d

https://bit.ly/3KCVNCj
"This is intelligent collaboration between humans and AI, leading to more robust, adaptable, and efficient integrations that benefit the people using our everyday solutions."
A Graph-First Approach With #Neo4j and #AI

At Entiros, AI becomes an active, reasoning team member, navigating and shaping the integration landscape.

Bolster Your Cybersecurity by Visualizing Attack Graphs With Neo4j & G.V() - Graph Database & Analytics

Neo4j @neo4j.com · 4d

Whether you’re building backend APIs or real-time apps, bringing graph power into your development workflow has never been easier!

⚙️ Query your Neo4j graph with the Python driver
🧩 Use the Neo4j GraphQL Toolbox or Query API
📈 Integrate Neo4j into your applications

https://bit.ly/4gZaSdB

Neo4j @neo4j.com · 5d

A Neo4j instance to conduct this kind of cybersecurity analysis?

From threat hunting to anomaly detection, see how Neo4j help you detect, analyze, and respond to cyber risks smarter and faster.

https://bit.ly/479uDeb

Think like a cyberattacker to quickly and easily identify vulnerabilities in your system with minimal query writing.

Going Meta S03E01 – a Series on Semantics, Knowledge Graphs and All Things AI

Neo4j @neo4j.com · 6d

Season 3 of Going Meta starts next week! Join us when we discuss #knowledgegraph and #ai in this monthly show! #graph #agents
youtube.com/live/lAg7Zwe...

YouTube video by Neo4j

youtube.com

Neo4j Invests $100 Million in GenAI and Launches Key Agentic AI Innovations - Graph Database & Analytics

Neo4j @neo4j.com · 6d

▶️ The Model Context Protocol Server for Neo4j: increasing the reliability and trustworthiness of agents and AI applications, readying them for production use.

Read more about these tools and other major updates here: bit.ly/4gRiq1P

Neo4j announces a $100 million investment in GenAI to fuel product innovation and help customers scale reliable intelligent systems.

Neo4j Invests $100 Million in GenAI and Launches Key Agentic AI Innovations - Graph Database & Analytics

Neo4j @neo4j.com · 6d

▶️ The Neo4j Aura Agent (Early access): an agent-creation platform that enables users to rapidly build, test, and deploy AI agents grounded in their own enterprise data in AuraDB.

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Neo4j announces a $100 million investment in GenAI to fuel product innovation and help customers scale reliable intelligent systems.

Neo4j Invests $100 Million in GenAI and Launches Key Agentic AI Innovations - Graph Database & Analytics

Neo4j @neo4j.com · 6d

⭐ From experimental GenAI pilots to intelligent systems that scale with Neo4j ⭐

We are proud to announce a $100 million investment to expand and deepen our critical role in the AI ecosystem. This has already helped us develop two new tools to address critical development obstacles:
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Neo4j announces a $100 million investment in GenAI to fuel product innovation and help customers scale reliable intelligent systems.

Implementing Neo4j GraphRAG Retrievers as MCP Server - Graph Database & Analytics

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Neo4j @neo4j.com · 8d

https://bit.ly/4gJyKSm
Tomaz Bratanic shows how to wrap Neo4j’s VectorCypherRetriever into an #MCP (Model Context Protocol) server. This lets #LLM agents invoke semantic + graph-based search via a single tool interface without handling raw embeddings or Cypher syntax themselves.

Learn how to expose the GraphRAG VectorCypherRetriever as an MCP server, making it available as an additional tool for our agent.

Knowledge Graph Generation - Graph Database & Analytics

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Neo4j @neo4j.com · 9d

🔧 Strategies and methods for knowledge graph generation 🔧

Crafting a knowledge graph helps turn that raw data into usable knowledge. Alex Gilmore walks through core techniques, challenges, and best practices for generating graphs that power smarter AI.
https://bit.ly/3Iv8yON

In this blog by Alex Gilmore, learn about strategies and methods for ingestion and knowledge graph generation.

Optimize Weakly Connected Component Projections - Graph Database & Analytics

Neo4j @neo4j.com · 12d

✨ Your weekend read: What Is a Graph Database?

Whether it’s fraud detection, recommendation engines, or grounding GenAI, graphs let you reveal the connections that matter.

https://bit.ly/4f80OOo

#Neo4j

Neo4j @neo4j.com · 14d

Optimize your WCC algorithm projections!

👌 Best practices
👌 Tips
👌 Real-world impact

Make your graph analytics faster and more efficient by Maxime Guery, PhD & Consultant Engineer, Neo4j

https://bit.ly/48kSRnF

Learn how to use Cypher to reduce the time and memory consumed by your weakly connected component projections.

Introducing ToolsRetriever in the Neo4j GraphRAG Python Package - Graph Database & Analytics

Neo4j @neo4j.com · 16d

ToolsRetriever: a new addition to the #Neo4j GraphRAG Python package makes tool-powered retrieval simple and contextual.
It's perfect for agentic apps that need accurate answers and actions.

Looking forward to the #GraphRAG applications you'll create with this new feature! https://bit.ly/3KtbR9z

Explore the motivation behind this feature, its implementation, and how to use it to build dynamic RAG applications.

What Is an AI Agent? - Graph Database & Analytics

Neo4j @neo4j.com · 18d

🤖 Building agents? Time to get serious about evaluation.

Check out this comprehensive framework by Tomaz Bratanic for evaluating graph retrieval in Neo4j MCP-based agentic systems using LangChain.

This framework makes it realistic, repeatable, and useful. Take a look:

https://bit.ly/3IbK6Sk

Neo4j @neo4j.com · 19d

Christoffer Bergman built a Multi-User Dungeon powered by #Neo4j + agentic memory: the Agent (LLM) builds the world, controls the non-playable characters (NPC's) as you go, and uses Neo4j as the memory for what it has come up with so far.
The challenge? #LLM unpredictability.

https://bit.ly/3K7hxWQ

Neo4j @neo4j.com · 20d

Join us on October 7 for a 30-minute session on how context engineering and Neo4j help AI agents reason better, make smarter decisions, and complete tasks reliably.

@mesirii.de

Asia Pacific: https://bit.ly/47MLdCu
Europe: https://bit.ly/4mnkUGl
Americas: https://bit.ly/4gtLA75

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Neo4j @neo4j.com · 23d

🤖 AI agents: they think, act, and reason to get things done.

Michael Hunger and Enzo Htet explain how agents combine GenAI models, tools, and reasoning loops to solve real-world tasks beyond simple text generation.

Learn about the story, the components, and types. https://bit.ly/4mlgGit

Learn what an AI agent is and how it works. Discover how agents use tools, memory & reasoning to complete complex tasks, going beyond a traditional LLM.

Agentic Knowledge Graph Construction

Neo4j @neo4j.com · 24d

🚨Have you heard about the new course of #DeepLearningAI and #Neo4j?

✨Agentic Knowledge Graph Construction✨

Learn how to use agents to automate knowledge graph creation.

Enroll today: https://bit.ly/3Vgrm7i

#KnowledgeGraphs #AgenticAI
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Build a multi-agent system that plans, designs, and constructs a knowledge graph.

Neo4j Live: Building Neo4j-Powered Applications with LLMs

Neo4j @neo4j.com · 26d

TUTORIAL ALERT: This Hypermode tutorial walks you through creating a #Hypermode Agent that scrapes Product Hunt for trending products, enriches that data with LinkedIn insights, and constructs a knowledge graph stored in #Neo4j. Take a look: https://bit.ly/4nm1NgO

Neo4j @neo4j.com · 27d

Thrilled to announce the #NODES2025's agenda!

Join more than 100 amazing experts for this 24-hour online free event, going deep about:
Graph databases, AgenticAI, Knowledge graphs, Visualization, and more...

Check out the agenda, per region, here: https://bit.ly/488HjE0

Neo4j @neo4j.com · 27d

LLMs are powerful, but they need context and structure to deliver real insights.
That’s where Neo4j comes in! Hear more about this today: youtube.com/live/8R-a56l... #graphrag #genai #llm

YouTube video by Neo4j

youtube.com

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Neo4j @neo4j.com · 28d

How to power up your Java apps by combining #Neo4j with LangChain4j—unlock advanced graph-based Q&A, vector storage, and natural language Cypher queries for next-level #GraphRAG workflows: https://bit.ly/4goYq6M

by Giuseppe Villani, Software Developer, LARUS Business Automation

Integrating Neo4j With LangChain4j for GraphRAG Vector Stores and Retrievers - Graph Database & Analytics

Learn how to set up and use the LangChain4j framework with Neo4j to perform graph-based question answering.

Neo4j @neo4j.com · 29d

Discover how to build a fully local #GraphRAG pipeline with #Neo4j, Hugging Face, @langchain.bsky.social, and #ollama + @mistralai.bsky.social! Perfect for offline use or privacy-focused projects—bring advanced retrieval-augmented generation to your own machine.
by Ananyyaaa
https://bit.ly/3Ic0a6r

Reposted by Neo4j

Carahsoft @carahsoft.bsky.social · Sep 4

Last week we hosted @neo4j.com fourth quarterly 'Good to Great' Graph Database workshop at the Carahsoft Conference & Collaboration Center. Designed for Federal professionals, the event featured hands-on tracks focused on LLMs, GraphRAG and #GenAI solutions.

Pass or Play: What does GenAI mean for the developer, Tue, Sep 16, 2025, 6:00 PM | Meetup

Reposted by Neo4j

Seattle Java User Group @seattlejug.bsky.social · Sep 7

In September we are going to host Jennifer Reif from @neo4j.com who is going to talk about "Pass or Play: What does GenAI mean for the developer".

www.meetup.com/seajug/event...

You've been tasked with implementing or learning AI, whether that includes LLMs, RAG, or MLOps. The sea of acronyms in this era of AI can feel like (and sometimes actually

www.meetup.com