COMING UP NEXT WEEK!
- Livestream: Neo4j Live: Graph Algorithms for Data Science on April 18
- Conferences: Find us at DEVOXX, Paris on April 17, PyData Texas on April 19
- Meetup: Meet us in Austin, US on April 18
- All Neo4j Events: Webinars and More
- GraphSummit Series: Get Connected With Graphs – Next up: Munich, DE on April 24
GETTING STARTED WITH GRAPHS
- GRAPHACADEMY: Introduction to Vector Indexes
- READ: Graph Search Algorithm Basics
- WATCH: Introduction to Neo4j
- TRY: Neo4j AuraDB Free
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FEATURED COMMUNITY MEMBER: Astrid Krickl
Astrid is working at Semantic Web Company as a Data and Knowledge Engineer. At WU Vienna, she investigated tools and techniques (mainly NLP and machine learning) that can help with the problem of misinformation and fake news. Connect with her on LinkedIn. In a livestream “Building a Semantics-Based Recommender System for ESG Documents” we brought together Semantic Web technologies and Neo4j to build a knowledge-based recommender system that is powered by a knowledge graph based on ESG-related documents.PODCAST: Providing Better Business Intelligence with Vish Puttagunta
For April, our Podcast is joined by Vish Puttagunta, the CEO of Power Central, where they are bringing ERP, data & intelligence together in the food industry to generate tangible and measurable ROI in Business.RAG: Neo4j & Haystack Part 1: Knowledge Graphs for RAG
Neo4j and Haystack teamed up for a two-part webinar series to discuss Knowledge Graphs and RAG. In Ep1, Andreas Kollegger covers knowledge graphs and how to use them in LLM applications and RAG. And in Ep2, Sergey Bondarenco shows you how to use the Haystack Neo4j integration to make full use of knowledge graphs in Haystack pipelines.BOOK: Neo4j: The Definitive Guide
This book by Luanne Misquitta and Christophe Willemsen is now available as an Early Release. It is a comprehensive guide to mastering Neo4j enterprise deployments. Drawing from real-world experiences, it offers practical advice on improving Cypher queries, data modelling, security, and observability.ERP: Navigating the Complexities of PLM-ERP Integration with Graph Models and Modern Digital Product Data
The article by Oleg Shilovitsky discusses the complexities of integrating PLM and ERP systems in manufacturing, highlighting graph-based models for better data management and integration. It emphasises the need for new approaches to manage intricate data and process interdependencies, suggesting that modern graph models can significantly ease enterprises’ integration challenges.TWEET OF THE WEEK: Hanley
Sorry, knowledge graph! Neo4j in particular. Their DB is absolutely amazing. It has it all.
— Hanley — ?/?️ (@PaperWizardAI) March 19, 2024