<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>gdotv blog</title><description>Tutorials, release notes and graph industry news from the gdotv team.</description><link>https://gdotv.com/</link><language>en-gb</language><lastBuildDate>Mon, 21 Sep 2026 17:59:06 GMT</lastBuildDate><item><title>Graph Algorithms on Billions of Edges with Apache DataFusion</title><link>https://gdotv.com/blog/apache-data-fusion-for-graph-algorithms/</link><guid isPermaLink="true">https://gdotv.com/blog/apache-data-fusion-for-graph-algorithms/</guid><description>We replicate Sem Sinchenko’s Apache DataFusion pipeline for running PageRank and Weakly Connected Components on billion-scale graphs using a laptop, and verify the results with gdotv.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Graph algorithms</category><category>Tech feature</category></item><item><title>gdotv Adds Multi-Graph Connections &amp; Automatic Data Models [v3.74.142 Release Notes]</title><link>https://gdotv.com/blog/3-74-142-release-notes-multi-graph-connections-data-models/</link><guid isPermaLink="true">https://gdotv.com/blog/3-74-142-release-notes-multi-graph-connections-data-models/</guid><description>Discover multi-graph connections in gdotv v3.74.142: move between graphs, datasets and repositories on one connection, with data models that load themselves.</description><pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Amazon Neptune</category><category>Cypher</category><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category><category>pgGraph</category><category>RDF</category><category>Release notes</category><category>SPARQL</category></item><item><title>The Weekly Edge: Fraud Graphs, Neo4j’s GraphTalk, GFQL’s Polars Support, &amp; More</title><link>https://gdotv.com/blog/the-weekly-edge-fraud-graphs-graphtalk-gfql-wikidata-graphrag/</link><guid isPermaLink="true">https://gdotv.com/blog/the-weekly-edge-fraud-graphs-graphtalk-gfql-wikidata-graphrag/</guid><description>Discover this week’s graph technology news: Santander’s fraud-graph repo, Neo4j’s GraphTalk recap, GFQL’s Polars support, and AWS’s GraphRAG walkthrough.</description><pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Amazon Neptune</category><category>Fraud detection</category><category>GraphRAG</category><category>Neo4j</category><category>SPARQL</category><category>Weekly Edge</category></item><item><title>LadybugDB and Snowflake: Building a Graph From a Relational Data Store</title><link>https://gdotv.com/blog/ladybugdb-adbc-connector-snowflake-with-gdotv/</link><guid isPermaLink="true">https://gdotv.com/blog/ladybugdb-adbc-connector-snowflake-with-gdotv/</guid><description>Learn how to use LadybugDB’s ADBC extension to turn a large Snowflake TPC-DS dataset into a graph, then explore and query the results with gdotv.</description><pubDate>Thu, 23 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Cypher</category><category>ETL</category><category>Graph data model</category><category>Graph databases</category><category>GraphGeeks</category><category>GraphRAG</category><category>Kuzu</category><category>LadybugDB</category><category>Tech feature</category></item><item><title>The Weekly Edge: Misinformation &amp; Knowledge Graphs, Stripe’s Graph-Based Recovery, Zero-ETL, &amp; More</title><link>https://gdotv.com/blog/the-weekly-edge-misinformation-stripe-zero-etl-semantic-units/</link><guid isPermaLink="true">https://gdotv.com/blog/the-weekly-edge-misinformation-stripe-zero-etl-semantic-units/</guid><description>Discover this week’s graph technology news: a knowledge graph misinformation failure, Stripe’s graph-based recovery system, biomedical KGs &amp; Zero-ETL.</description><pubDate>Thu, 23 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Graph databases</category><category>Knowledge graph</category><category>PuppyGraph</category><category>RDF</category><category>Semantic Web</category><category>Weekly Edge</category></item><item><title>The Weekly Edge:  Graphs Fighting Climate Change, Graph Con @ Seattle, NeuG’s New Algorithms, &amp; More</title><link>https://gdotv.com/blog/the-weekly-edge-thermecowat-knowledge-graph-climate-neug-graphcon/</link><guid isPermaLink="true">https://gdotv.com/blog/the-weekly-edge-thermecowat-knowledge-graph-climate-neug-graphcon/</guid><description>Discover what’s new this week in graph technology: Graphs underscore EU climate decisions, a catalog for Wikidata resources, NeuG adds graph algorithms &amp; more.</description><pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Graph algorithms</category><category>GraphRAG</category><category>Knowledge graph</category><category>Ontology</category><category>Semantic Web</category><category>Weekly Edge</category></item><item><title>The Weekly Edge: Independent Ladybugs, Hamburg Graphs, DataFusion Hacks &amp; more</title><link>https://gdotv.com/blog/the-weekly-edge-ladybugdb-pykci-apache-datafusion/</link><guid isPermaLink="true">https://gdotv.com/blog/the-weekly-edge-ladybugdb-pykci-apache-datafusion/</guid><description>Discover what’s new this week in graph technology: LadybugDB splits from Kuzu, Apache DataFusion scales billion-edge graphs, and Tentris lands seed funding.</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>FalkorDB</category><category>Knowledge graph</category><category>LadybugDB</category><category>RDF</category><category>Weekly Edge</category></item><item><title>Practical Advice for Ontology Engineering on RDF &amp; Property Graphs</title><link>https://gdotv.com/blog/ontology-modelling-rdf-property-graphs/</link><guid isPermaLink="true">https://gdotv.com/blog/ontology-modelling-rdf-property-graphs/</guid><description>Learn how to engineer a graph ontology that keeps its meaning across RDF and property graph systems, with practical modelling best practices and tooling.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Knowledge graph</category><category>Labeled property graph</category><category>Ontology</category><category>OWL</category><category>RDF</category><category>Semantic Web</category><category>SHACL</category></item><item><title>Practical Advice on Graph Visualization: The Case of SigmaJS</title><link>https://gdotv.com/blog/practical-advice-on-graph-visualization-with-sigmajs/</link><guid isPermaLink="true">https://gdotv.com/blog/practical-advice-on-graph-visualization-with-sigmajs/</guid><description>Explore how SigmaJS became the default engine for web graph visualization, the WebGL rendering tradeoff it solves, and why gdotv sponsors its development.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Arthur Bigeard</dc:creator><category>Graph databases</category><category>Graph technology</category><category>Graph visualization</category><category>Knowledge graph</category></item><item><title>The Weekly Edge: gdotv on Apache TinkerPop Wide Stream, Aerospike Goes Open Source, Information Retrieval Benchmarks &amp; more</title><link>https://gdotv.com/blog/teg-db-apache-tinkerpop-aerospike-rome/</link><guid isPermaLink="true">https://gdotv.com/blog/teg-db-apache-tinkerpop-aerospike-rome/</guid><description>Discover what’s new this week in graph technology: Amir dives into the TEG-DB benchmark, Aerospike Graph goes open source, and Neo4j debuts Enterprise Studio.</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Aerospike Graph</category><category>Amazon Neptune</category><category>Apache TinkerPop</category><category>GraphRAG</category><category>Neo4j</category><category>RDF</category><category>Weekly Edge</category></item><item><title>gdotv Now Supports pgGraph, Graph Queries on PostgreSQL</title><link>https://gdotv.com/blog/gdotv-now-supports-pggraph-graph-queries-on-postgresql/</link><guid isPermaLink="true">https://gdotv.com/blog/gdotv-now-supports-pggraph-graph-queries-on-postgresql/</guid><description>Explore pgGraph support in gdotv: connect to your PostgreSQL tables, write GQL graph queries, and visualize traversals and shortest paths with no migration.</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate><dc:creator>Joe Stainke</dc:creator><category>GQL</category><category>Graph data</category><category>Graph databases</category><category>Graph on relational</category><category>Graph visualization</category><category>pgGraph</category></item><item><title>Introducing pgGraph Support, Node Icons &amp; Language-Aware Terminology [gdotv v3.63.137 Release Notes]</title><link>https://gdotv.com/blog/introducing-pggraph-support-node-icons-language-aware-terminology-gdotv-v3-63-137-release-notes/</link><guid isPermaLink="true">https://gdotv.com/blog/introducing-pggraph-support-node-icons-language-aware-terminology-gdotv-v3-63-137-release-notes/</guid><description>Discover gdotv v3.63.137: pgGraph support brings graph queries to PostgreSQL, plus node icons, language-aware vertex &amp; edge terminology, RDF lang-tag grouping.</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Joe Stainke</dc:creator><category>Apache TinkerPop</category><category>Cypher</category><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category><category>LadybugDB</category><category>pgGraph</category><category>RDF</category><category>Release notes</category><category>SPARQL</category></item><item><title>Pitting gdotv Against AWS Graph-Explorer (LPG)</title><link>https://gdotv.com/blog/aws-neptune-graph-explorer-vs-gdotv/</link><guid isPermaLink="true">https://gdotv.com/blog/aws-neptune-graph-explorer-vs-gdotv/</guid><description>How does gdotv compare against AWS graph-explorer? Follow along with this deep-dive as we explore the various features of each framework.</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Joe Stainke</dc:creator><category>Amazon Neptune</category><category>Cypher</category><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category></item><item><title>The Weekly Edge: RDF Inference, Yugabyte MAGE, Visualization with Apache AGE</title><link>https://gdotv.com/blog/the-weekly-edge-ontology-rules-yugabyte-posette/</link><guid isPermaLink="true">https://gdotv.com/blog/the-weekly-edge-ontology-rules-yugabyte-posette/</guid><description>Discover what’s new this week in graph technology: N3 rules for ontology alignment, Yugabyte’s agent-ready Postgres, and ontology-free graph construction.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Apache AGE</category><category>Knowledge graph</category><category>Ontology</category><category>OWL</category><category>Postgres</category><category>SHACL</category><category>Weekly Edge</category></item><item><title>How does gdotv compare to Zazuko Graph Explorer?</title><link>https://gdotv.com/blog/compare-gdotv-zazuko-graph-explorer/</link><guid isPermaLink="true">https://gdotv.com/blog/compare-gdotv-zazuko-graph-explorer/</guid><description>How does gdotv compare against Zazuko Graph Explorer? Follow along with this deep-dive as we explore the various features of each framework.</description><pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Graph databases</category><category>Graph visualization</category><category>Knowledge graph</category><category>RDF</category><category>SPARQL</category></item><item><title>Comparing gdotv vs GraphDB Workbench</title><link>https://gdotv.com/blog/compare-gdotv-graph-db-workbench/</link><guid isPermaLink="true">https://gdotv.com/blog/compare-gdotv-graph-db-workbench/</guid><description>How does gdotv compare against GraphDB Workbench? Follow along with this deep-dive as we explore the various features of each framework.</description><pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Graph technology</category><category>Graph visualization</category><category>RDF</category><category>SPARQL</category></item><item><title>The Weekly Edge: European Railways, Norwegian Weather, Metallic Graphs &amp; more</title><link>https://gdotv.com/blog/the-weekly-edge-european-railways-norwegian-weather-metallic-graphs/</link><guid isPermaLink="true">https://gdotv.com/blog/the-weekly-edge-european-railways-norwegian-weather-metallic-graphs/</guid><description>Discover what’s new this week in graph technology: querying timeseries via SPARQL, SHACL-DS validates European Railways, and Stardog’s LLM-first rebrand.</description><pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Apache AGE</category><category>Knowledge graph</category><category>RDF</category><category>SHACL</category><category>SPARQL</category><category>Weekly Edge</category></item><item><title>Working with JanusGraph? Here’s how gdotv compares to JanusGraph Visualizer</title><link>https://gdotv.com/blog/janusgraph-visualizer-vs-gdotv/</link><guid isPermaLink="true">https://gdotv.com/blog/janusgraph-visualizer-vs-gdotv/</guid><description>How does gdotv compare against JanusGraph Visualizer? Follow along with this deep-dive as we explore the various features of each framework.</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Joe Stainke</dc:creator><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category><category>JanusGraph</category></item><item><title>Building a Property Graph Pipeline from the TEG Benchmark: Part 4 – A Critical Examination of Text-Enriched Graphs</title><link>https://gdotv.com/blog/teg-benchmark-property-graph-pipeline-critical-analysis/</link><guid isPermaLink="true">https://gdotv.com/blog/teg-benchmark-property-graph-pipeline-critical-analysis/</guid><description>Read our critical analysis of TEG-DB: seven empirical findings on edge text quality, semantic entropy, and evaluation design gaps in text-enriched graph benchmarks.</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Arthur Bigeard</dc:creator><category>Amazon Neptune</category><category>Benchmark</category><category>Cypher</category><category>Graph data</category><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category></item><item><title>How does gdotv compare to Apache AGE Viewer?</title><link>https://gdotv.com/blog/compare-gdotv-apache-age-viewer/</link><guid isPermaLink="true">https://gdotv.com/blog/compare-gdotv-apache-age-viewer/</guid><description>How does gdotv compare against Apache AGE Viewer? Follow along with this deep-dive as we explore the various features of each framework.</description><pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Apache AGE</category><category>Graph databases</category><category>Graph visualization</category></item><item><title>The Weekly Edge: Google Cloud Spanner Graph Algorithms, Neo4j Acquires GraphAware, Fisheries Knowledge Graph</title><link>https://gdotv.com/blog/weekly-edge-neo4j-graph-aware-spanner-graph-algorithms/</link><guid isPermaLink="true">https://gdotv.com/blog/weekly-edge-neo4j-graph-aware-spanner-graph-algorithms/</guid><description>Discover what’s new this week in graph technology: Neo4j acquires GraphAware, Spanner Graph adds new algorithms, Microsoft Fabric Graph goes GA, and more.</description><pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Graph analytics</category><category>Knowledge graph</category><category>Neo4j</category><category>RDF</category><category>Spanner Graph</category><category>SPARQL</category><category>Weekly Edge</category></item><item><title>Building a Property Graph Pipeline from the TEG Benchmark: Part 3 – Exploring with gdotv</title><link>https://gdotv.com/blog/teg-benchmark-property-graph-pipeline-explore-graph-visually/</link><guid isPermaLink="true">https://gdotv.com/blog/teg-benchmark-property-graph-pipeline-explore-graph-visually/</guid><description>Explore four queries in gdotv against TEG-DB show what edge text enables: sentiment polarity, citation chains, and contradictions invisible to graph topology.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Amazon Neptune</category><category>Benchmark</category><category>Cypher</category><category>Graph data</category><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category></item><item><title>Building a Property Graph Pipeline from the TEG Benchmark: Part 2 – Populating the AWS Neptune Graph</title><link>https://gdotv.com/blog/teg-benchmark-property-graph-pipeline-ingest-aws-neptune/</link><guid isPermaLink="true">https://gdotv.com/blog/teg-benchmark-property-graph-pipeline-ingest-aws-neptune/</guid><description>Load TEG-DB CSV files into Amazon Neptune via the bulk loader API, connect gdotv with IAM auth, and verify the loaded graph with Gremlin.</description><pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Amazon Neptune</category><category>Benchmark</category><category>Graph data</category><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category></item><item><title>The Weekly Edge: Neo4j Virtual Graphs, Graphing Snowflake, LegalGraphRAG &amp; more</title><link>https://gdotv.com/blog/weekly-edge-graph-on-relational-neo4j-snowflake-apache-age/</link><guid isPermaLink="true">https://gdotv.com/blog/weekly-edge-graph-on-relational-neo4j-snowflake-apache-age/</guid><description>Discover what’s new in graph tech this week, including a whole host of graph-on-relational technologies relating to Neo4j, Snowflake, Apache AGE, and Postgres.</description><pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Apache AGE</category><category>Graph on relational</category><category>GraphRAG</category><category>LadybugDB</category><category>Neo4j</category><category>Postgres</category><category>Weekly Edge</category></item><item><title>Building a Property Graph Pipeline from the TEG Benchmark: Part 1 – From HuggingFace to Structured CSV</title><link>https://gdotv.com/blog/teg-benchmark-property-graph-pipeline-huggingface-to-csv/</link><guid isPermaLink="true">https://gdotv.com/blog/teg-benchmark-property-graph-pipeline-huggingface-to-csv/</guid><description>Find out how to build a property graph pipeline converting the TEG-DB graph benchmark from PyTorch Geometric pickles into AWS Neptune import-ready CSV files.</description><pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Amazon Neptune</category><category>Benchmark</category><category>Cypher</category><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category></item><item><title>Fill Your AWS Neptune Graph with S3 Data</title><link>https://gdotv.com/blog/aws-neptune-call-data-from-s3-bucket/</link><guid isPermaLink="true">https://gdotv.com/blog/aws-neptune-call-data-from-s3-bucket/</guid><description>Follow this quick developer walk-through with gdotv to see how you can use the neptune.read() function to call data from your S3 bucket directly into your AWS Neptune cluster.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>Amazon Neptune</category><category>AWS</category><category>Cypher</category><category>Graph databases</category><category>Gremlin</category></item><item><title>Kuzu’s Legacy and the New Wave of Embedded Graph Databases</title><link>https://gdotv.com/blog/kuzu-legacy-embedded-graph-database-landscape/</link><guid isPermaLink="true">https://gdotv.com/blog/kuzu-legacy-embedded-graph-database-landscape/</guid><description>Find out how Kuzu pioneered embedded graph databases, their legacy, how LadybugDB carries the project on, and where you should look next.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate><dc:creator>Arthur Bigeard</dc:creator><category>Cypher</category><category>FalkorDB</category><category>Graph databases</category><category>Kuzu</category><category>LadybugDB</category></item><item><title>Build Your First Recommendation System with BigQuery Graph</title><link>https://gdotv.com/blog/customer-360-recommendation-system-with-google-bigquery-graph/</link><guid isPermaLink="true">https://gdotv.com/blog/customer-360-recommendation-system-with-google-bigquery-graph/</guid><description>Learn how to build and construct recommendation systems using graphs by following this Google BigQuery demo with gdotv.</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Amber Lennox</dc:creator><category>GQL</category><category>Graph databases</category><category>Graph visualization</category><category>BigQuery Graph</category></item><item><title>A Landscape of the Emerging Graph on Relational Category</title><link>https://gdotv.com/blog/graph-on-relational-engines-landscape/</link><guid isPermaLink="true">https://gdotv.com/blog/graph-on-relational-engines-landscape/</guid><description>Learn how graph-on-relational engines work in 2026: PuppyGraph, SQL:2023, ISO GQL, hyperscalers, and Prometheux. A deep dive into the category.</description><pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate><dc:creator>Arthur Bigeard</dc:creator><category>GQL</category><category>Graph databases</category><category>Graph on relational</category><category>PuppyGraph</category><category>RDF</category><category>Spanner Graph</category><category>BigQuery Graph</category></item><item><title>Introducing AI Query Generation and Cypher Dialect specific autocomplete [gdotv v3.61.129 Release Notes]</title><link>https://gdotv.com/blog/gdotv-release-llm-chat-cypher-autocomplete/</link><guid isPermaLink="true">https://gdotv.com/blog/gdotv-release-llm-chat-cypher-autocomplete/</guid><description>Explore the latest release of gdotv, featuring a brand new LLM chat interface, dialect aware Cypher autocomplete, and more!</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate><dc:creator>Joe Stainke</dc:creator><category>BigQuery Graph</category><category>Cypher</category><category>Graph databases</category><category>Graph visualization</category><category>Knowledge graph</category><category>Release notes</category></item><item><title>Loading Data into Apache AGE: A Practical Guide with the Air Routes Dataset</title><link>https://gdotv.com/blog/loading-data-apache-age-air-routes/</link><guid isPermaLink="true">https://gdotv.com/blog/loading-data-apache-age-air-routes/</guid><description>Load data into Apache AGE with agload or Postgres staging tables and Cypher UNWIND. Walks through the air routes dataset with focus on property types.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><dc:creator>Arthur Bigeard</dc:creator><category>Apache AGE</category></item><item><title>Visualizing Apache AGE: Connecting gdotv and Exploring the Air Routes Graph</title><link>https://gdotv.com/blog/visualizing-apache-age-gdotv/</link><guid isPermaLink="true">https://gdotv.com/blog/visualizing-apache-age-gdotv/</guid><description>Connect gdotv to Apache AGE and explore your graph visually: schema view, Cypher and SQL editor, graph visualization, no-code explorer, WYSIWYG editing.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><dc:creator>Arthur Bigeard</dc:creator><category>Apache AGE</category><category>Graph database client</category><category>Graph visualization</category></item><item><title>Apache AGE Explained: how does it work and how does it fit in the Graph Database Landscape?</title><link>https://gdotv.com/blog/apache-age-explained/</link><guid isPermaLink="true">https://gdotv.com/blog/apache-age-explained/</guid><description>What Apache AGE is, how it stores graphs as Postgres tables, how AgType works (with casting cookbook), and how AGE compares to Neo4j, JanusGraph, and SQL/PGQ.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Arthur Bigeard</dc:creator><category>Apache AGE</category><category>Cypher</category><category>Graph databases</category><category>JanusGraph</category></item><item><title>Running Apache AGE: Docker Quickstart and Cloud Postgres Provider Landscape</title><link>https://gdotv.com/blog/running-apache-age-docker-cloud/</link><guid isPermaLink="true">https://gdotv.com/blog/running-apache-age-docker-cloud/</guid><description>Run Apache AGE locally with Docker, plus a map of cloud Postgres support: Azure, EnterpriseDB, HorizonDB, AWS RDS, GCP Cloud SQL, Supabase, Snowflake.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Arthur Bigeard</dc:creator><category>Apache AGE</category></item><item><title>Graph Chat with Wes Madrigal, CEO &amp; Co-Founder of Kurve</title><link>https://gdotv.com/blog/wes-madrigal-kurve-graphgeeks-video/</link><guid isPermaLink="true">https://gdotv.com/blog/wes-madrigal-kurve-graphgeeks-video/</guid><description>Watch this GraphGeeks chat with Wes Madrigal, CEO &amp; Co-Founder of Kurve, as he discusses automating data discovery using graph traversals and ontologies for AI.</description><pubDate>Fri, 15 May 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Graph analytics</category><category>Graph databases</category><category>Graph technology</category><category>GraphGeeks</category><category>Ontology</category></item><item><title>The Weekly Edge: 25 Years of the Semantic Web, GQL DB, Lance Graph &amp; More</title><link>https://gdotv.com/blog/weekly-edge-semantic-web-anniversary-gql-db-aws-neptune/</link><guid isPermaLink="true">https://gdotv.com/blog/weekly-edge-semantic-web-anniversary-gql-db-aws-neptune/</guid><description>Discover what’s new in graph tech this week, including the silver jubilee of the Semantic Web, a fully GQL graph database, ApacheTinkerPop 4.0 beta and more.</description><pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Amazon Neptune</category><category>Apache TinkerPop</category><category>GQL</category><category>Knowledge graph</category><category>Ontology</category><category>RDF</category><category>Semantic Web</category><category>SPARQL</category><category>Ultipa</category><category>Weekly Edge</category></item><item><title>Our Favourite Talks &amp; Memories from the Knowledge Graph Conference 2026</title><link>https://gdotv.com/blog/knowledge-graph-conference-2026-takeaways/</link><guid isPermaLink="true">https://gdotv.com/blog/knowledge-graph-conference-2026-takeaways/</guid><description>Catch up on everything that happened at the Knowledge Graph Conference 2026 with highlights from the gdotv team, including top workshops and must-see talks.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Graph visualization</category><category>Knowledge graph</category><category>Knowledge Graph Conference</category><category>Labeled property graph</category><category>RDF</category><category>Semantic Web</category><category>SPARQL</category></item><item><title>The Weekly Edge: Zero ETL Federated GQL, Context Graphs Beyond the Hype, Graph AI Memory &amp; More</title><link>https://gdotv.com/blog/weekly-edge-federated-gql-query-engine-context-graphs-ai-memory/</link><guid isPermaLink="true">https://gdotv.com/blog/weekly-edge-federated-gql-query-engine-context-graphs-ai-memory/</guid><description>Discover what’s new in graph tech this week, including a new graph query engine for federated GQL, a context graph talk, .NET dev for AWS Neptune and more.</description><pubDate>Thu, 30 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Amazon Neptune</category><category>GQL</category><category>Graph databases</category><category>Memgraph</category><category>Neo4j</category><category>Postgres</category><category>Weekly Edge</category></item><item><title>Learning Graph Databases with gdotv &amp; Practical Gremlin (2nd Edition) by Kelvin Lawrence &amp; Stephen Mallette</title><link>https://gdotv.com/blog/practical-gremlin-2nd-ed-kelvin-lawrence-stephen-mallette/</link><guid isPermaLink="true">https://gdotv.com/blog/practical-gremlin-2nd-ed-kelvin-lawrence-stephen-mallette/</guid><description>Dive into the world of graph databases with this dev guide using Practical Gremlin (2nd ed.) and gdotv with updated code and data visualization examples.</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Joe Stainke</dc:creator><category>Amazon Neptune</category><category>Apache TinkerPop</category><category>Graph database client</category><category>Graph databases</category><category>Graph Query Language</category><category>Graph visualization</category><category>Gremlin</category><category>Tech feature</category></item><item><title>SHACL in gdotv: Unifying Your RDF Data Model &amp; Validation</title><link>https://gdotv.com/blog/shacl-gdotv-unify-graph-data-model-validation/</link><guid isPermaLink="true">https://gdotv.com/blog/shacl-gdotv-unify-graph-data-model-validation/</guid><description>Discover how gdotv transforms SHACL validation shapes into a unified RDF data model by integrating ontology and instance data into one explorable view.</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Dr. Seyed Amir Hosseini Beghaeiraveri</dc:creator><category>Apache Jena Fuseki</category><category>Knowledge graph</category><category>Ontology</category><category>OWL</category><category>RDF</category><category>SHACL</category><category>Tech feature</category></item><item><title>Who Needs a Chart When You Can Just Chat? [feat. Data Day Texas 2026]</title><link>https://gdotv.com/blog/graph-visualization-data-day-texas-speaker-notes/</link><guid isPermaLink="true">https://gdotv.com/blog/graph-visualization-data-day-texas-speaker-notes/</guid><description>Watch (or read) this presentation by Christian Miles on the future of graph data visualization in the world of LLMs – inspired by his talk at Data Day Texas.</description><pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Christian Miles</dc:creator><category>Data Day Texas</category><category>Graph databases</category><category>Graph visualization</category><category>Tech feature</category></item><item><title>Graph Chat with Amy Holder at GraphGeeks &amp; Bryce Merkl Sasaki at gdotv</title><link>https://gdotv.com/blog/bryce-merkl-sasaski-amy-hodler-graphgeeks-video/</link><guid isPermaLink="true">https://gdotv.com/blog/bryce-merkl-sasaski-amy-hodler-graphgeeks-video/</guid><description>Watch this GraphGeeks video featuring Amy Hodler and Bryce Merkl Sasaki discussing the future of graph technology, AI memory, graph tech tooling, and more.</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>AI memory</category><category>Graph analytics</category><category>Graph databases</category><category>Graph technology</category><category>GraphGeeks</category><category>GraphRAG</category><category>Neo4j</category></item><item><title>The Weekly Edge: Knowledge Graphs Keep Heating Up, a LadybugDB Walkthrough, &amp; Data Viz Won’t Save You (by Itself)</title><link>https://gdotv.com/blog/weekly-edge-knowledge-graphs-neptune-graphrag-data-visualization/</link><guid isPermaLink="true">https://gdotv.com/blog/weekly-edge-knowledge-graphs-neptune-graphrag-data-visualization/</guid><description>Discover what’s new in graph tech this week, including a knowledge graph build demo with AWS Neptune, a GraphRAG walkthrough, LadybugDB’s revival, and more.</description><pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Amazon Neptune</category><category>Cypher</category><category>Graph analytics</category><category>GraphRAG</category><category>Knowledge graph</category><category>Kuzu</category><category>LadybugDB</category><category>Ontology</category><category>Weekly Edge</category></item><item><title>The Weekly Edge: BigQuery Graph Goes Big, RDF 1.2 Advances, TinkerPop Hatches 3 New Gremlins, &amp; more</title><link>https://gdotv.com/blog/weekly-edge-bigquery-graph-rdf-1-2-apache-tinkerpop-4-0-0/</link><guid isPermaLink="true">https://gdotv.com/blog/weekly-edge-bigquery-graph-rdf-1-2-apache-tinkerpop-4-0-0/</guid><description>Catch up on what’s new in graph tech this week, including BigQuery Graph’s debut, another RDF 1.2 milestone, TinkerPop 4.0, a graph viz home run, and more.</description><pubDate>Thu, 16 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Apache TinkerPop</category><category>BigQuery Graph</category><category>GQL</category><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category><category>Knowledge graph</category><category>RDF</category><category>Spanner Graph</category><category>SPARQL</category><category>Weekly Edge</category></item><item><title>How Dashboards Turn Questions into Data Analysis for Business Decisions</title><link>https://gdotv.com/blog/dashboard-data-analysis-walkthrough/</link><guid isPermaLink="true">https://gdotv.com/blog/dashboard-data-analysis-walkthrough/</guid><description>Discover how to build an effective data dashboard that guides real-world decisions with this in-depth data visualization walkthrough using a Northwind example.</description><pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Geoff Storbeck</dc:creator><category>Cypher</category><category>Graph data</category><category>Graph databases</category><category>Graph visualization</category><category>Neo4j</category><category>Tech feature</category></item><item><title>We’ll See You at the Knowledge Graph Conference 2026!</title><link>https://gdotv.com/blog/knowledge-graph-conference-2026/</link><guid isPermaLink="true">https://gdotv.com/blog/knowledge-graph-conference-2026/</guid><description>Discover what’s happening, who’s presenting, and which sessions to attend at the Knowledge Graph Conference 2026 – and meet the gdotv team while you’re at it!</description><pubDate>Mon, 13 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Graph data science</category><category>Graph databases</category><category>Graph visualization</category><category>Knowledge graph</category><category>Knowledge Graph Conference</category><category>Ontology</category><category>RDF</category><category>Semantic Web</category></item><item><title>Graph Chat with Meg Paulosky, Director of Data &amp; Analytics at Stitch Fix</title><link>https://gdotv.com/blog/stitch-fix-meg-paulosky-graphgeeks-video/</link><guid isPermaLink="true">https://gdotv.com/blog/stitch-fix-meg-paulosky-graphgeeks-video/</guid><description>Watch this GraphGeeks video with Meg Paulosky as she discusses how her team at Stitch Fix is using graph data science and AI agents to better serve clients.</description><pubDate>Fri, 10 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Graph data</category><category>Graph data science</category><category>Graph databases</category><category>Graph technology</category><category>GraphGeeks</category><category>Knowledge graph</category></item><item><title>Introducing Support for Apache HugeGraph, GoogleSQL, SHACL Constraints, &amp; More [gdotv v3.59.116 Release Notes]</title><link>https://gdotv.com/blog/gdotv-release-googlesql-hugegraph-shacl-ontology-constraints/</link><guid isPermaLink="true">https://gdotv.com/blog/gdotv-release-googlesql-hugegraph-shacl-ontology-constraints/</guid><description>Discover what’s new in this release of gdotv with support for Apache HugeGraph, GoogleSQL autocomplete, SHACL ontology constraints, graph viz updates &amp; more!</description><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Joe Stainke</dc:creator><category>Graph databases</category><category>Graph visualization</category><category>Gremlin</category><category>Knowledge graph</category><category>Ontology</category><category>RDF</category><category>Release notes</category><category>SHACL</category></item><item><title>The Weekly Edge: Read S3 Data with Cypher, Graph in Fabric GA, Epstein Files Graph Viz, &amp; More</title><link>https://gdotv.com/blog/weekly-edge-amazon-s3-cypher-microsoft-graph-fabric-epstein-files/</link><guid isPermaLink="true">https://gdotv.com/blog/weekly-edge-amazon-s3-cypher-microsoft-graph-fabric-epstein-files/</guid><description>Discover what’s new in graph tech this week: 2 graph updates from Microsoft, an RDF knowledge graph creator, and a graph visualization of the Epstein Files.</description><pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>Amazon Neptune</category><category>Cypher</category><category>Graph visualization</category><category>Knowledge graph</category><category>Ontology</category><category>RDF</category><category>SHACL</category><category>SPARQL</category><category>Weekly Edge</category></item><item><title>Graph Chat with Philip Rathle, Chief Technology Officer of Neo4j</title><link>https://gdotv.com/blog/neo4j-philip-rathle-graphgeeks-video/</link><guid isPermaLink="true">https://gdotv.com/blog/neo4j-philip-rathle-graphgeeks-video/</guid><description>Watch this GraphGeeks chat with Philip Rathle, CTO of Neo4j, as he discusses neuro-symbolic AI, the promise of GraphRAG, the challenge of AI memory &amp; more.</description><pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate><dc:creator>Bryce Merkl Sasaki</dc:creator><category>AI memory</category><category>Graph data</category><category>Graph data science</category><category>Graph databases</category><category>GraphGeeks</category><category>GraphRAG</category><category>Neo4j</category></item></channel></rss>