Neo4J Graph Data Science: Centrality Algorithms
Explore centrality algorithms in Neo4J Graph Data Science Library for advanced network analysis and machine learning applications.
Neo4J GDS: Similarity Algorithms for Data Science and Machine Learning
Explore Neo4J GDS library's similarity algorithms for data science and machine learning, with practical demonstrations and code examples.
Neo4J GDS - Machine Learning Feature Engineering
Explore data pre-processing and feature engineering using Neo4J's Graph Data Science Library for enhanced machine learning workflows.
Neo4J GDS: Machine Learning Node Classification Pipelines
Crea pipelines de clasificación de nodos con Neo4J y Graph Data Science Library para aprender técnicas avanzadas de machine learning en grafos.
Neo4J as Vector Store with Langchain, OpenAI, and Wikipedia
Explore Neo4J as a vector store using Langchain, OpenAI embeddings, and Wikipedia data for advanced data science and machine learning applications.
Neo4J Knowledge Graph: Topic Extraction with Langchain and Phi3 - Part 1
Explore topic extraction for knowledge graphs using Neo4J, Langchain, and Microsoft Phi3. Learn to enrich movie databases with themes from TMDB.org overviews.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
Make Generative AI Work - Best Practices from Data Leaders
Data leaders discuss implementing generative AI, sharing real-world experiences, challenges, and strategies. Learn to bridge the gap from concept to deployment, break down data silos, and build a data culture embracing AI's transformative power.
Getting Graphy - A Hands-On Crash Course with Neo4j
Hands-on introduction to graph databases using Neo4j. Learn fundamentals, identify graph-shaped problems, and gain practical experience loading and querying data in this interactive workshop.
Dungeons, Dragons, and Graph Databases
Explore graph databases through a D&D-inspired example, comparing relational and graph approaches for modeling dungeons, and learn to optimize data queries for adventurers.
Dungeons, Dragons, and Graph Databases
Explore graph databases through a D&D-inspired example, comparing relational and graph approaches for modeling dungeons, and learn to optimize data queries for adventurers.
Enabling GenAI Breakthroughs with Knowledge Graphs - Building Personalized Recommendation Systems
Discover how to integrate LLMs with Neo4j knowledge graphs using RAG patterns to build intelligent GenAI applications for personalized recommendations and enhanced data insights.
Kùzu - A Fast, Scalable Graph Database for Analytical Workloads
Discover how to build and analyze knowledge graphs using Kùzu, an open-source graph database. Learn practical implementations, from data transformation to running Cypher queries and training graph neural networks for advanced RAG systems.
Stardog Query Optimizer - Join Ordering and Cardinality Estimations for Graph Queries
Delve into query optimization techniques for graph databases, focusing on join ordering and cardinality estimations in Stardog's architecture, with insights from Pavel Klinov's extensive experience in query engine development.
Modeling, Querying and Seeing Time Series Data within a Self-Organizing Mesh Network
Explore graph database modeling for dynamic power grid networks. Learn to query and analyze sensor data, triage at-risk components, and understand network healing processes.
Neo4J GDS: Community Detection Algorithms
Explore Neo4J GDS library and community detection algorithms for graph data science, enhancing your machine learning and data analysis skills.
Complete Session on Knowledge Graph and GraphDB with LangChain
Comprehensive exploration of Knowledge Graphs and GraphDB integration with LangChain, covering implementation techniques and practical applications for advanced data management and AI systems.
Ontology-First Knowledge Graphs: Understanding RDF and Building Connected Data Systems
Dive into the fundamentals of Knowledge Graphs, exploring RDF frameworks, ontology development, and real-world applications like Netflix's data connection strategy through practical examples and expert insights.
Vector Databases: A New Search Paradigm - OCX 2024
Explore how vector databases revolutionize information search through multidimensional data representation, with hands-on examples using Milvus, Weaviate, and Neo4J for enhanced data analysis.