Neo4j Graph Tech Weekly

This Week in Neo4j: GPT-4, GDS, Geospatial, GraphQL, BigQuery, and More

LLMs:?Creating a Knowledge Graph From Video Transcripts With GPT-4

Instead of labeling a dataset and training a custom model, Tomaz Bratanic uses GPT-4 as a domain expert to model this dataset. He splits the video transcript into workable chunks in Python methods, controls the GPT-4 Entity and Relationship response with formatting instructions, and imports it into Neo4j with Cypher. Also, he sets up a graph validation model that directs entities to their video timeline extraction points.

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DATA SCIENCE:?How to Use Cypher Aggregations in Neo4j Graph Data Science

In this tutorial, Tomaz Bratanic explores the Cypher Aggregation projection option for projecting an in-memory graph in the Graph Data Science Library. It’s recommended to open a GDS project in Sandbox to follow along with the code.

TRAINING SERIES :?Build a Routing Web Application

William Lyon showcases how to use geospatial data in the Neo4j graph database. He starts out by covering the spatial types and functions available in the Cypher query language, and Neo4j then moves on to spatial search operations and routing with graph algorithms.

GRAPHQL:?Visualizing GraphQL Query Data With Neo4j

Asiamah-Konadu Nana Kwame of LogRocket Blog creates a to-do application with a Node.js backend using GraphQL as the API and Neo4j AuraDB as the database. He performs CRUD operations using GraphQL and then visualizes the data in Neo4j AuraDB.

DEMO:?Neo4j BigQuery

This video demonstrates how to get data from BigQuery into Neo4j as a stored procedure facilitated by Apache Spark. Learn to configure connection and authentication for BigQuery and Neo4j Aura, and the mapping of BigQuery data to Neo4j nodes and relationships.

#BigQuery #Neo4j #Cypher #Visualization #AuraDB #GraphQL #CHATGPT