InfoQ Homepage Graph Database Content on InfoQ
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Posted by
Jonathan Lowe
on
Sep 15, 2025
Chatting with Your Knowledge Graph
Jonathan Lowe discusses how to enable an LLM to chat with a structured graph database. He explains the process of using semantic search and knowledge graphs to answer natural language questions.
on Sep 15, 2025Icon50:20 -
Posted by
Scott Meyer
on
Jun 07, 2024
LIquid: a Large-Scale Relational Graph Database
Scott Meyer discusses LIquid, the graph database built to host LinkedIn, serving a ~15Tb graph at ~2M QPS.
on Jun 07, 2024Icon49:39 -
Posted by
Ben Butler-Cole
on
Jun 08, 2019
Choosing Kubernetes: Managing Risk in Cloud Infrastructure
Ben Butler-Cole talks about Neo4j’s use of Kubernetes as a foundation for their stateful service: why they chose it and how they handled the risks associated with that choice.
on Jun 08, 2019Icon38:01 -
Posted by
Sumit Rangwala
on
Jun 05, 2019
People You May Know: Fast Recommendations over Massive Data
Sumit Rangwala and Felix GV present the evolution of PYMK’s architecture, focusing on Gaia, a real-time graph computing capability, and Venice, an online feature store with scoring capability.
on Jun 05, 2019Icon39:12 -
Posted by
Teon Banek
on
May 26, 2019
Life of a Distributed Graph Database Query
Teon Banek describes the life of a query in Memgraph following the process from reading a query as a character string, through planning and distributed execution of query operations.
on May 26, 2019Icon30:23 -
Posted by
Brian Platz
on
May 25, 2018
Introducing FlureeDB, The World's First ACID-Compliant Blockchain Database
Brian Platz introduces FlureeDB, a graph-style database for building blockchain applications.
on May 25, 2018Icon37:28 -
Posted by
Michael Hackstein
on
Dec 21, 2017
Handling Billions of Edges in a Graph Database
Michael Hackstein discusses graph databases, the current scalability problems and their solutions.
on Dec 21, 2017Icon01:00:01 -
Posted by
Jim Webber
on
Apr 07, 2017
Causal Consistency for Large Neo4j Clusters
Jim Webber explores the new Causal clustering architecture for Neo4j, how it allows users to read writes straightforwardly, explaining why this is difficult to achieve in distributed systems.
on Apr 07, 2017Icon49:40 -
Posted by
Songxiao Zhang
on
Nov 06, 2016
Pyh3: Scalable and High Performance Graph Visualization in 3D Hyperbolic Space
Songxiao Zhang introduces Pyh3, a graph visualization library showing tree nodes in a 3D hyperbolic space.
on Nov 06, 2016Icon25:13 -
Posted by
Mark Needham
on
Sep 02, 2016
Using Clojure and Neo4j to Build a Meetup Recommendation Engine
Mark Needham shows how a meetup recommendation engine using Neo4j and Clojure can be built from scratch, combining content-based and collaborative filtering using Cypher and Clojure.
on Sep 02, 2016Icon49:48 -
Posted by
Adam Miskiewicz
on
Apr 23, 2016
React Native in Production
Adam Miskiewicz goes beyond the React Native docs and talks about best practices for building responsive and production-ready React Native applications with Redux, Relay, and GraphQL.
on Apr 23, 2016Icon52:08 -
Posted by
Ian Bull
on
Apr 02, 2016
Node4J: Running Node.js in a JavaWorld
Ian Bull introduces Node4J and explores the performance characteristics and highlights the tools that help one develop, debug and deploy Node.JS applications running directly on the JVM.
on Apr 02, 2016Icon32:13