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.
Elasticsearch - You Know, for More Than Search
Explore Elasticsearch's versatility beyond search, including recommendations, monitoring, forensic analysis, and machine learning for anomaly detection. Discover new ways to leverage your data.
From SQL to Azure Cosmos DB
Explore modeling techniques for NoSQL document databases in Azure Cosmos DB, transitioning from SQL to document-based modeling. Learn about tradeoffs and adapting to new transactional and querying paradigms.
A Practical Guide to Graph Databases
Explore graph databases' practical applications, use cases, and patterns. Learn to leverage their power for solving real-world business problems and gaining valuable insights.
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.
Accelerate Multi-Cloud Management with VMware Tanzu Hub
Discover how VMware Tanzu Hub revolutionizes multi-cloud management through comprehensive visibility, efficient resource navigation, and intelligent services integration for optimized cloud operations.
Connecting the Dots: Graph Analytics for Economic Sustainability
Discover how graph analytics drives economic sustainability through pattern recognition, data connections, and risk reduction strategies for more efficient and cost-effective business operations.
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.
Data Indexing with RGB: Ruby, Graphs, and Bitmaps - Lecture
Explore data indexing using Ruby, graph databases, and bitmap stores to build a unique data engine for faster dataset interrogation and cross-market analysis.
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.
Time for Chaos - Understanding Chaos Engineering for Infrastructure Resilience
Explore Chaos Engineering to enhance infrastructure resilience. Learn about simulating failures, designing workflows, and improving system stability through proactive testing and observability.
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.
Neural Graph Databases: Combining GNNs with Labeled Property Graphs
Explore neural graph databases, combining graph databases with graph neural networks using LPG2vec encoder for improved prediction accuracy in complex graph datasets.
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads
Explore cutting-edge graph database technology scaling to 100,000+ cores. Learn about GDI, a new interface for high-performance, scalable graph processing in distributed memory systems.
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.
Handling Billions of Edges in a Graph Database
Explore techniques for managing massive graph databases with billions of edges, focusing on scalability, performance optimization, and efficient data handling in complex network structures.
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.