Neo4j GraphQL Library: Our Roadmap for 2024–2025
Oct 29 4 mins read
Explore Neo4j's 2024–2025 roadmap for GraphQL Library, including new features, support timelines, and migration tips for smoother transitions. Read more →
Explore Neo4j's 2024–2025 roadmap for GraphQL Library, including new features, support timelines, and migration tips for smoother transitions. Read more →
Learn how to detect bank fraud using Neo4j’s graph database, enabling real-time analysis to uncover hidden fraud rings and protect financial assets. Read more →
Learn how to turn CSV files into graph models using LLMs, simplifying data relationships, enhancing insights, and optimizing workflows. Read more →
Explore how graph technology reveal hidden connections among Titanic passengers, transforming complex relationships into actionable insights. Read more →
Explore how graph modeling of Titanic data reveals insights into survivorship by class, gender, age, and cabin location with simplified Cypher queries. Read more →
Explore advanced GraphRAG retrieval patterns and how graph structures enhance RAG systems. Learn actionable strategies to implement and optimize GraphRAG. Read more →
Learn an easy way to set up a Neo4j cluster on your local Mac using k3d and K3s in this step-by-step walkthrough. Read more →
Explore how graph databases transforms risk management in organizations, enhancing understanding and reducing redundancy. Read more →
Chemical reactions are represented visually as a graph. Let's explore them in the Neo4j Graph Database. Read more →
Learn the mix and batch technique to parallelize your relationship loading in Neo4j two to three times faster. Read more →
From SQL to GQL, the new graph query language standard and a pivotal development for advancing data analytics in the era of GenAI and beyond. Read more →
Learn how to ingest data from relational data into your Neo4j graph database automatically, by using the Neo4j Runway Python Library. Read more →
Introducing the Neo4j LangChain Starter Kit for Python developers, which generates GenAI answers backed by data stored in a Neo4j Graph Database. Read more →
Part 2 of analyzing the Mahabharata's connections with knowledge graphs and building a chatbot using Google Gemini to answer questions. Read more →
Part 1 of analyzing the Mahabharata, an epic brimming with connections, using Neo4j graph database to uncover hidden relationships. Read more →
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. Read more →
Optimizing vector retrieval with advanced graph-based metadata filtering techniques using LangChain and Neo4j. Read more →
To help you make the most of your Neo4j graph database project, Neo4j Professional Services offers a special Solution Assessment service. Read more →
Learn how to retrieve information that spans across multiple documents through multi-hop question answering using knowledge graphs and LLMs. Read more →
Learn how to find the data types of properties in Neo4j Graph Database using the Cypher query language and APOC. Read more →
We’re excited to announce Neo4j JDBC Driver version 6. It integrates graph databases with platforms and tools in the Java ecosystem. Read more →
How to use the Keymaker framework to build low-code analytical query pipelines and APIs, accelerating Neo4j application development. Read more →
Cypher Workbench is a set of tools that helps you conceptualize, model, and work with graphs and the Cypher query language. Read more →
Understanding how Neo4j Graph Database interprets and executes Cypher is key to debugging slow-running statements. Read more →
Learn how to use PDF documents to build a graph and LLM-powered retrieval augmented generation application. Read more →