William Lyon's Blog

GLiNER2.5-Decide beside GLiNER2.5: two local models checking extracted edges, typing mentions for entity resolution, and storing every judgment in Neo4j.

TypeSafe's Jev model as a stage between a span extractor and a Neo4j graph: gating edges on whether the source asserts them, adjudicating entity merges, and storing every judgment as graph data.

Part two of the Neo4j and OKF series.

Google's Open Knowledge Format (OKF) is already a graph - it's just serialized as markdown files.

Vercel's Eve framework makes durable agents easy - but agents still forget.

A complete guide to deploying Neo4j Enterprise 5.x on any VPS (Digital Ocean, AWS, GCP, Azure, or on-premises) with SSL/TLS encryption, database restoration, and read-only user configuration.

Building interactive graph visualizations with Sigma React - from basic setup to advanced customizations

Using aerial imagery and Spatial SQL to explore Forest Service road networks

My take on the exciting world of spatial database technology plus a look at getting started with Apache Sedona.

A look at loading points of interest from the Overture Maps public dataset into the Neo4j graph database, plus writing Spatial SQL queries with AWS Athena.

A resource for working with geospatial data in Neo4j.

Radius Distance, Bounding Box, and Point in Polygon Search With Graphs

Building Interactive Graph Data Visualizations With GraphQL

Using Next.js API Routes And Deploying To Vercel & Neo4j Aura

Using The Flat Data GitHub Action To Import Data From The Lobste.rs News Site

Building A GRANDstack Podcast App: Episode 5

Building A GRANDstack Podcast App: Episode 6

Building A GRANDstack Podcast App: Episode 4

Building A GRANDstack Podcast App: Episode 3

Building A GRANDstack Podcast App: Episode 2

Building A GRANDstack Podcast App: Episode 1

Using low code graph apps to build data visualizations with Neo4j.

Using the new Jolt format with HTTP in Neo4j 4.2 with edge network handlers.

This post explores how to build spatial data visualizations using address data from the Paradise Papers leak of offshore corporations and the people connected to them.

Natural language processing (NLP) techniques like entity extraction can be used to help make sense of a large text corpus.

In this post we explore how to scrape tweets from Internet Archive for Russian Twitter Troll accounts, import into Neo4j for analysis, and how to build a simple GraphQL API exposing the data through GraphQL.

Many web services are converting their publicly facing APIs from REST to GraphQL.

One of the powers of working with graph databases is the ability to combine disparate datasets and query across them.

Updating legis-graph-spatial to make use of the new spatial procedures in Neo4j 3.0 and the official Neo4j Javascript driver.

Using graphs to analyze character interactions in the popular Game of Thrones series.

Adding geospatial indexing and map visualizations to legis-graph

Finding real world text datasets to analyze can make playing around with NLP tasks much more interesting.

A common task when working with data from APIs is crawling the API and inserting the results in a database.

This post shows how we can apply graph analytics to US Congressional data to find influential legislators in Congress.

Interactions among members of any large organization are naturally a graph, yet the tools we use to analyze data about these organizations often ignore the graphiness of the data and instead map the data into structures (such as relational databases) that…

Discovering paradigmatic word associations is one of the core tasks of Natural Language Processing.

Using article links shared on Twitter to determine user interests, we show how to build a personalized content recommender system to suggest other articles the user might be interested in.

We show how to load data from the Yelp Academic Dataset into Neo4j, then build a webapp to perform geospatial queries on the data and visualize the results on a map.

What have I been doing in Santiago Chile as part of Startup Chile?

GraphConnect is an annual conference for graph database enthusiasts.

My experiences during Boulder StartupWeek 2014.

A system for ranking tweets based on user affinity and time decay.

Loading every airport in the world into Neo4j Spatial for the purposes of route finding.

Using data about global militarized interstate disputes (wars) we build some geospatial visualizations to analyze data about war fatalities throughout history.