Graph Embeddings - Ways Your AI Can Learn From Your Connected Data - Nicolas Rouyer
Explore five ways AI can leverage graph embeddings to extract insights from connected data, enhancing machine learning algorithms and unlocking hidden patterns in complex relationships.
The Companies We Keep - In Search of "Shady" Corporate Activity
Explore the world's first network graph mapping UK corporate ownership data, built to uncover potential corrupt practices and improve transparency in business structures.
Analytics and Graph Traversal with Solr
Explore Solr's advanced analytics capabilities, including faceted search, streaming expressions, and graph traversal, with insights on API selection for different scenarios.
Document Similarity Using Langchain, OpenAI Embeddings, and Neo4J
Explore document similarity using Langchain, Neo4j, and OpenAI embeddings. Learn practical techniques for machine learning and data science applications.
Neo4J Knowledge Graph Builder App with Langchain, OpenAI, and Gemini
Build knowledge graphs from unstructured data using Neo4J's Knowledge Graph Builder App with AI integration for efficient data extraction and visualization.
Graph Your Game: Strategic Playbooks Unveiled - Mapping Lacrosse Tactics
Explore strategic playbooks in lacrosse using graph theory and Golang. Learn to visualize player and team dynamics, implement knowledge graphs, and leverage CypherQL for data analysis.
Unraveling the Web of Relationships: Understanding Graph Data
Explore graph theory basics, real-world applications, and the growing importance of graph databases in solving complex data challenges across industries.
HugeGraph's Self-controlled Storage, High-Performance Computing, and the Future of AI
Explore HugeGraph's innovative approach to self-controlled storage and high-performance computing, with insights into its role in advancing AI technology and data management.
Getting Started with SurrealDB - Future of Cloud Databases
Explore SurrealDB, a versatile cloud-native database with key-value, relational, and graph capabilities. Learn installation, basic operations, and unique features for efficient data management.
ODSC West 2015 - Fundamentals of Neo4j
Learn Neo4j fundamentals and Cypher query language in this workshop. Explore graph database advantages, syntax basics, and advanced querying techniques for efficient data modeling and analysis.
Introducing Quine - A Streaming Graph for Modern Data Pipelines
Explore Quine: A streaming graph for modern data pipelines. Learn its inner workings, challenges faced during creation, and use cases illustrating its importance in data processing.
On Graph Databases - The Backend Engineering Show
Explore database constraints, indexing, storage engines, and graph databases. Understand how different database types address various use cases and optimize performance.
The Next Five Years in Databases - Predictions and Trends
Explore the future of databases with insights on machine learning, graph algorithms, hardware trends, and cloud services. Gain valuable predictions from an industry expert.
Setting the Standard in Cloud Security - A New Model for Endpoint Protection
Explore a new model for endpoint security that optimizes threat detection and prevention while maximizing internal resources for faster, more scalable security solutions.
Integrating Graph Databases Into Your Architecture With GraphQL
Explore integrating graph databases using GraphQL, covering distributed architecture, data modeling, schema management, and query functions for efficient data handling and analysis.
All the Databases - Comparing Relational, NoSQL, and Graph Databases
Explore diverse database types, their histories, use cases, and trade-offs. Learn when to choose relational, NoSQL, or graph databases for optimal data management and system performance.
GLogS: Interactive Graph Pattern Matching Query at Large Scale
Interactive graph pattern matching system for large-scale data analysis. Outperforms alternatives with optimized execution plans and distributed processing, enabling efficient querying without manual tuning.
Introduction to Dgraph - Graph Database Fundamentals and Practical Usage
Explore Dgraph, a scalable GraphQL database with graph backend. Learn setup, interface usage, data modeling, and managed service options in this comprehensive introduction.
Build Neo4j Applications with Node.js
Explore Neo4j's JavaScript driver for building graph databases. Learn use cases, getting started, data manipulation, and when to use graph DBs in this comprehensive tutorial.
The Distributed Open Source Graph Database - NebulaGraph
Explore graph databases, their applications, and NebulaGraph's features in this informative talk. Learn about use cases like recommendation systems and fraud detection.
Intro to OpenSource ArangoDB Document and Graph Database
Explore ArangoDB, an open-source database platform combining document and graph models. Learn about JSON storage, edge creation, and data visualization through its HTTP API and web interface.