Lightnews — Scholar-powered news

Neo4j @neo4j.com · 20h

https://bit.ly/474X64K Fareed Khan tackles the brittleness of strict JSON parsing in node/edge extraction – especially when using smaller or quantized LLMs. He shows how BAML’s fuzzy parsing can boost extraction success from ~25% to over 99%

Neo4j @neo4j.com · 1d

#NODES2025 keeps getting better! We are thrilled to announce that Andrew Ng, @deeplearningai.bsky.social's Founder, will join Emil Eifrem for an exclusive chat on how graphs power the future of AI🚀

Free registration: https://bit.ly/488HjE0

#Neo4j

Reposted by Neo4j

Graph Aware @graphaware.bsky.social · 7d

Save the date for #NODES2025 and our sessions:
👉 Anonymisation in the LLM Era: No Room for Compromise
👉 Narrative Extraction with GenAI: Human-centric Knowledge Graph Creation from Text
👉 Rendering Graphs Your Way: The Case for Going Custom
👉Combine GDS and Agentic AI for Automatic Report Generation

Neo4j @neo4j.com · Sep 11

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

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Neo4j @neo4j.com · 4d

Discover the full potential of #Cypher with the Neo4j MCP Cypher server while keeping your LLMs safe and efficient! Discover essential techniques like read-only mode, execution timeouts, and output sanitization in our latest post. Power up your graph exploration.
https://bit.ly/42AmnCh

Production-Proofing Your Neo4j Cypher MCP Server - Graph Database & Analytics

Set up a server that gives LLMs the freedom to explore your graph database intelligently while staying safe, responsive, and production-ready.

bit.ly

Neo4j @neo4j.com · 5d

Join us next week, when we take a look at Valkompass - an open-source project combining Neo4j and Gemini to map and analyse Swedish political data.
https://youtube.com/live/5uT8FAPUJW4 #knowledgegraph #genai #gemini

Neo4j Live: Valkompass.ai - Mapping Political Insight with Graphs & AI

How can we use graphs and AI to bring transparency to politics? In this live session, we’ll dive into Valkompass.ai - an open-source project that uses Neo4j and Gemini to connect and analyze political...

youtube.com

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Neo4j @neo4j.com · 6d

Turn natural language questions into valid #Cypher queries more reliably: even when the first pass fails! The process? A loop of verification + correction, repeated until a correct query emerges.

Explore this process! https://bit.ly/4pYpvlu

#Neo4j

Explore Iterative Refinement for Text2Cypher - Graph Database & Analytics

Explore an iterative verification and correction refinement process aimed at improving Text2Cypher performance.

bit.ly

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Neo4j @neo4j.com · 8d

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

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

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

bit.ly

Neo4j @neo4j.com · 11d

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 · 11d

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

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

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

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Neo4j @neo4j.com · 13d

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...

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

YouTube video by Neo4j

youtube.com

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Neo4j @neo4j.com · 13d

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

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

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Neo4j @neo4j.com · 13d

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

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

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Neo4j @neo4j.com · 13d

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

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

bit.ly

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Neo4j @neo4j.com · 14d

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.

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

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

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Neo4j @neo4j.com · 15d

🔧 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

Knowledge Graph Generation - Graph Database & Analytics

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

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Neo4j @neo4j.com · 18d

✨ 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 · 20d

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

Optimize Weakly Connected Component Projections - Graph Database & Analytics

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

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Neo4j @neo4j.com · 22d

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

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

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

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Neo4j @neo4j.com · 24d

🤖 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 · 26d

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 · 26d

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 · 29d

🤖 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

What Is an AI Agent? - Graph Database & Analytics

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.

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Neo4j @neo4j.com · Sep 14

🚨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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Agentic Knowledge Graph Construction

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

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Neo4j @neo4j.com · Sep 12

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 · Sep 11

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