A Graph Native Query Optimization

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Want to learn more about Want to learn more about Generative AI + Machine Learning? Read the ebook here ... Querying dense, exponentially growing networks in relational databases is unintuitive and poorly performant. Learn how to use ... Speaker: Akhil Hemanth Resources: Get Started with Aura - Deployment Center - Philip Rathle is the Chief Technology Officer of Neo4j, where he has spent more than a decade helping transform the company ... In this video, we break down two of the most talked‑about data technologies today— 2025 updated version here: High-level overview of 'What is Neo4j'.

by Michael Hackstein (ArangoDB) ©FOSDEM Session presented at FOSDEM Belgium 2018.

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Famous GraphRAG vs. Traditional RAG: Higher Accuracy & Insight with LLM Net Worth
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Famous Part 21: An example of when querying a graph can be easier than SQL (3/n) Net Worth
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Agentic GraphRAG: Multi-Agent Knowledge Graph
Neo4j in 100 Seconds
What is a Graph Database?
Philip Rathle, Neo4j CTO on GraphRAG, Graph Databases & AI
ICAPS 2017: Learning to Speed Up Query Planning in Graph Databases
Optimize data usage when using Microsoft Graph with query parameters
Vector DB vs Graph DB: Which One Do You Actually Need?
What is a graph database? (in 10 minutes)
Handling Billions Of Edges in a Graph Database

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Last Updated: June 12, 2026

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Using Graphs for Performant Queries on Exponentially Growing Data Net Worth
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