gdotv Now Supports pgGraph, Graph Queries on PostgreSQL
Explore pgGraph support in gdotv: connect to your PostgreSQL tables, write GQL graph queries, and visualize traversals and shortest paths with no migration.
graph data
Building a Property Graph Pipeline from the TEG Benchmark: Part 4 – A Critical Examination of Text-Enriched Graphs
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.
Building a Property Graph Pipeline from the TEG Benchmark: Part 3 – Exploring with gdotv
Explore four queries in gdotv against TEG-DB show what edge text enables: sentiment polarity, citation chains, and contradictions invisible to graph topology.
Building a Property Graph Pipeline from the TEG Benchmark: Part 2 – Populating the AWS Neptune Graph
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.
How Dashboards Turn Questions into Data Analysis for Business Decisions
Discover how to build an effective data dashboard that guides real-world decisions with this in-depth data visualization walkthrough using a Northwind example.
Graph Chat with Meg Paulosky, Director of Data & Analytics at Stitch Fix
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.
Graph Chat with Philip Rathle, Chief Technology Officer of Neo4j
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 & more.
![Evaluating Codebase-Oriented RAG through Knowledge Graph Analysis [Part 2]](https://gdotv.com/wp-content/uploads/2026/03/knowledge-graph-analysis-codebase-oriented-rag-part-2-1024x535.jpg "Evaluating Codebase-Oriented RAG through Knowledge Graph Analysis [Part 2]")
Evaluating Codebase-Oriented RAG through Knowledge Graph Analysis [Part 2]
Crack open your codebase RAG with a knowledge graph analysis that illustrates hidden dependencies and other structural breakdowns in part 2 of this series.
![Announcing SPARQL Query Guardrails, Dashboarding, Query Editor Upgrades, & More [v3.53.111 Release Notes]](https://gdotv.com/wp-content/uploads/2026/03/rdf-sparql-query-guardrails-interactive-graph-dashboarding-gdotv-release-1024x535.jpg "Announcing SPARQL Query Guardrails, Dashboarding, Query Editor Upgrades, & More [v3.53.111 Release Notes]")
Announcing SPARQL Query Guardrails, Dashboarding, Query Editor Upgrades, & More [v3.53.111 Release Notes]
Discover what’s new in the latest release of gdotv with SPARQL query guardrails, dashboards for visual graph analytics, query editor upgrades and much more!
![Cypher RETURN Clause: Selecting & Shaping Query Results [Byte-Sized Cypher Series]](https://gdotv.com/wp-content/uploads/2026/02/return-clause-byte-sized-cypher-query-langauge-video-series-1024x576.jpg "Cypher RETURN Clause: Selecting & Shaping Query Results [Byte-Sized Cypher Series]")
Cypher RETURN Clause: Selecting & Shaping Query Results [Byte-Sized Cypher Series]
Catch this episode of the Byte-Sized Cypher series by Jason Koo teaching you all about the RETURN clause in the Cypher query language and how to use it.