Putting the Graph in GraphQL with the Neo4j GraphQL Library
Explore building efficient GraphQL APIs with Neo4j GraphQL library, enabling native graph database integration and simplified development without writing resolvers.
Real-Time Data Updates for Neo4j Using GraphQL Subscriptions
Explore real-time data updates in Neo4j using GraphQL Subscriptions. Learn about this new feature in the Neo4j GraphQL Library and see a live demonstration of its capabilities.
What Are Graph Databases and Why Should I Care
Explore graph databases' potential in personalization, logistics, and fraud detection. Learn about various datastores, processing frameworks, and practical applications to enhance complex systems.
Practical GraphRAG - Making LLMs Smarter with Knowledge Graphs
Discover how to enhance LLM accuracy using knowledge graphs, exploring GraphRAG implementation with Neo4j and LangChain for improved context-aware AI responses and reduced hallucinations.
Real-Time Threat Detection Using Machine Learning and Apache Kafka
Explore real-time threat detection using machine learning, Apache Kafka, and ksqlDB. Learn about ZIEM, a network mapping and intrusion detection platform that generates instant network diagrams for quick anomaly detection.
Understanding Graph Databases with Neo4j
Explore graph databases and Neo4j to uncover deeper insights through data relationships, gaining a more flexible and insightful view of your information.
Neo4J Graph Data Science: Load Data Using GDS
Upload data to Neo4J using Graph Data Science Library. Learn efficient techniques for data integration in graph databases for machine learning and data science applications.
Creating a QA Tool Using Langchain, OpenAI, and Neo4J
Develop a QA tool using Langchain, Neo4J, and OpenAI models for advanced data science and machine learning applications.
Neo4J GDS: Node Embeddings Algorithms for Data Science and Machine Learning
Explore node embedding algorithms in Neo4J GDS for data science and machine learning, creating powerful graph-based representations.
Neo4J GDS - Topological Link Prediction for Data Science and Machine Learning
Explore topological link prediction algorithms in Neo4J using the Data Science library (GDS) for advanced graph analysis and machine learning applications.
CypherGUI - Simplifying Graph Database Administration
Simplify graph database management with CypherGUI, an open-source app offering intuitive interface and powerful features for users of all skill levels.
Sciphi Triplex: A Cost-Effective Alternative to Microsoft GraphRAG
Explore Sciphi Triplex: a cost-effective, high-performance alternative to Microsoft's Graph RAG for creating knowledge graphs from unstructured data. Learn setup, implementation, and visualization techniques.
Using Open Source Techs to Unearth the Stories of the Panama Papers
Explore how journalists used Apache Solr, Tika, and Neo4j to investigate the Panama Papers, uncovering hidden connections and stories within massive leaked financial documents.
Working on Cancer
Exploring whole genome sequencing for cancer treatment using Clojure, Neo4j, and domain-specific languages. Discusses challenges, solutions, and non-traditional team approaches in clinical settings.
Cypher Sleuthing - Tips and Tricks for Querying a Graph Database
Explore graph database querying techniques, Cypher language essentials, and APOC library usage to optimize performance and avoid common pitfalls in graph data manipulation.
How Graph Data Science Can Turbocharge Your Knowledge Graph
Explore how Graph Data Science enhances Knowledge Graphs, offering powerful insights through centrality algorithms and node embeddings. Learn applications in drug discovery and get started with Neo4j.
Dungeons, Dragons, and Graph Databases
Explore graph databases through a D&D lens. Learn how to model complex relationships, write efficient queries, and optimize your dungeon crawl using this powerful database technology.
Sharing 2 Years Experience Using Scala in a Real Project by a Java Team
Insights and experiences from a Java team's 2-year journey adopting Scala/Akka, covering best practices, pitfalls, and lessons learned in functional programming and interoperability with Java and Groovy.
Graph Databases and the Panama Papers
Explore the Panama Papers leak using graph databases, focusing on how ICIJ utilized this technology to analyze 3TB of data and provide an accessible interface for investigative journalists.
Using Bloodhound as a Defender: Tips from the Red Team
Discover how to leverage BloodHound from a red team perspective to identify and remediate critical Active Directory security flaws, with practical insights using the new ad-recon automation tool.
Introduction to Graph Databases
Explore graph databases, their comparison to relational databases, and ideal use cases. Learn about property graphs and gain resources for further study in this informative introduction.