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Resources - Neo4j
Videos, Slides, Case Studies and other GraphAware related resources
10+ Entity States in Graph Visualisation and How To Make The Best Of Them
Dr. Miro Marchi and Michal Trnka explore 10 of the most useful graph entity states using Cypher to enrich entities with contextual information enabling powerful interactions.
Neo4j Security In Action
Christophe Willemsen describes Role Based Access Control (RBAC), intra-cluster encryption and logging in Neo4j.
Post-Union Processing with Cypher
Luanne Misquitta shows how to use the results of a UNION Cypher query.
Malt Aware: Discovering What To Drink With Neo4j
Luanne Misquitta explains how to produce good starting-point recommendations for whisky using Cypher that are of higher quality than those we see at our favourite online stores.
Unparalleled Graph Database Scalability Delivered by Neo4j 4.0
This session features Dr. Alessandro Negro, noted graph database author and Chief Scientist at GraphAware, along with Patrick Wall, Director of Product Marketing at Neo4j. During this webinar, GraphAware explores the powerful scalability features of Neo4j 4.0 in a live demo using the COVID-19 Open Research Dataset.
To Be or Not To Be, Neo4j Full Text Search Tips and Tricks
Christophe Willemsen, CTO at GraphAware, goes over some tips and tricks on Relevant Search with Neo4j’s Lucene based search engine.
GraphAware Audit Module Overview & Demo
The GraphAware Audit module seamlessly and transparently captures a full audit history who, when, and how a graph was modified.
Voice-Driven Interfaces with Neo4j and Amazon Alexa
The age of touch could soon come to an end. From smartphones and smartwatches to home devices and in-car systems, touch is no longer the primary user interface. In this talk, Christophe will guide you through the design of Voice-Driven UIs and show why Neo4j, the world’s leading graph database, is a suitable engine for storing and computing context-aware intents in order to improve the user experience.
Knowledge Graphs and Chatbots with Neo4j and Amazon Alexa
Knowledge Graphs are becoming the de-facto solution for managing complex aggregated knowledge, and Neo4j is the leading platform for storing and querying connected data. In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.
Create a Recommendation Microservice with Symfony, Neo4j and Reco4PHP by Christophe Willemsen
Graph Databases are naturally well-suited for building recommendation engines. In this talk, Christophe will share his experience building a number of production-ready recommendation engines using Neo4j and introduce the open-source GraphAware Reco4PHP Library, which enables PHP developers to rapidly build their own recommendation systems.