Neo4j is a graph database management system. It is designed to store, manage, and query large amounts of data in a graph format. It is particularly useful for applications that require complex data relationships and queries.

What is a graph database?

A graph database is a type of database that uses graph structures to store, manage, and query data. In a graph database, data is represented as nodes and edges, which can be used to model complex relationships between data points.

What are the benefits of using Neo4j?

Neo4j offers several benefits over traditional relational databases, including the ability to model complex relationships between data points, faster query performance, and the ability to scale horizontally. It is particularly useful for applications that require real-time data processing and analysis.

Cypher is a query language used by Neo4j to query and manipulate data in a graph database. It is designed to be intuitive and easy to use, and allows developers to express complex queries in a simple and concise manner.

What are some use cases for Neo4j?

Neo4j is particularly useful for applications that require complex data relationships and queries, such as social networks, recommendation engines, fraud detection, and real-time analytics. It is also used in industries such as healthcare, finance, and logistics.

Neo4j Guide

At neo4j.guide, our mission is to provide a comprehensive guide to Neo4j, the world's leading graph database. We aim to empower developers, data scientists, and business analysts with the knowledge and skills they need to harness the power of graph technology and build innovative applications that drive business value. Our site offers a wealth of resources, including tutorials, best practices, case studies, and community forums, all designed to help users get the most out of Neo4j. Whether you're a seasoned graph database expert or just getting started, neo4j.guide is your go-to destination for all things Neo4j.

Video Introduction Course Tutorial

/r/neo4j Yearly

📄 Context-Aware Knowledge Graph Chatbot with GPT-4 and Neo4j

📄 ChatGPT as an interface for Neo4j

📄 Knowledge graph based chatbot with GPT-3

📄 Creating a Knowledge Graph from Video Transcripts with GPT-4

📄 Why don’t corporations use Graph!!?

📄 How Cypher changed in Neo4j v5

📄 Bullshit graph database performance benchmarks

📄 Integrating Neo4j into LangChain ecosystem

📄 Project Management is a Graph Problem

📄 Neo4j Live Streams

📄 Knowledge Graphs & LLMs: Multi-Hop Question Answering

📄 Run Neo4j benchmark on your own data

📄 Are indices used as much in Graph databases like Neo4j as in SQL databases?

📄 Using GraphSAGE to improve document classification accuracy

📄 How to access a @relationship property in the @auth allow?

📄 Reasoning: why does Google use graph databases for route calculation?

📄 Loading data from a SQL database to Neo4j

📄 query from one db to another

📄 Best free graph database for order of 500 million nodes

📄 Neo4jection: Secrets, Data, and Cloud Exploits

📄 Analyze your website using NLP and Neo4j

📄 Using a full-text search on almost 200M nodes in Neo4j

📄 When it comes to ID's, should i just use UUID or is there a better solution? Trying to build a knowledge graph. - signed noob wanna be data scientist

📄 Spatial Cypher Cheat Sheet: A Resource For Working With Geospatial Data In Neo4j

📄 Graph Application to Map the Local Job Market: Former Data Analyst Now Data & Analytics Recruitment Agency Owner

📄 Has anyone worked on production recommendation usecases using graphdbs for E-commerce usecases ?

📄 How to use Cypher Aggregations in Neo4j Graph Data Science library

📄 ZeusCloud - Open-source Cloud Security built on Neo4j

📄 Sort results by edge property value? Neo4j / GraphQL

📄 A few things I didn't understand in Neo4j online course

📄 How to write cypher query to count number of nodes in graph based on levenshtein similarity

📄 How to create basic schema for neo4j database with chatGPT

📄 Guide to run local instance of Neo4j on windows with working self signed certificate without any warnings

📄 A Neo4j/Bolt driver written in pure Ruby

📄 Neo4j Source code

📄 Replace RDBMS with neo4j

📄 Election data in Neo4j

📄 Initial experiences

📄 Is there a way to skip checking correct ACL permissions on the neo4j config file when using --expand-commands ?

📄 Neo4j self-host or cheaper alternative to Aura or GrapheneDB

📄 Track Data Lineage With a Graph Database - Memgraph Webinar

📄 Learning Neo4j.

📄 Using Neo4j to implement a granular access control system

📄 Graph model for Location data?

📄 Graph Search Algorithms: Developer's Guide

📄 How to automate cypher query?

📄 Graph Database vs Relational Database

📄 Creating a food web database with spatial search in Neo4j - is it feasible?

📄 Class (node) inheritance in neo4j or any other LPG

📄 Creating a blog

Neo4j Guide Cheat Sheet

Welcome to the Neo4j Guide Cheat Sheet! This reference sheet is designed to provide you with everything you need to know to get started with Neo4j. Whether you're a beginner or an experienced user, this guide will help you navigate the concepts, topics, and categories on the Neo4j Guide website.

Introduction to Neo4j

Neo4j is a graph database management system that allows you to store, manage, and query data in the form of nodes and relationships. It is designed to handle complex and interconnected data, making it ideal for applications that require a high level of flexibility and scalability.

Nodes

Nodes are the basic building blocks of a Neo4j database. They represent entities or objects in your data model and can be labeled to indicate their type. Nodes can also have properties, which are key-value pairs that provide additional information about the node.

Relationships

Relationships connect nodes in a Neo4j database and represent the connections between entities or objects in your data model. Relationships can also have properties, which are key-value pairs that provide additional information about the relationship.

Cypher Query Language

Cypher is the query language used by Neo4j to retrieve and manipulate data. It is a declarative language that allows you to express complex queries in a simple and intuitive way. Cypher queries are written in ASCII art, making them easy to read and understand.

Getting Started with Neo4j

If you're new to Neo4j, here are some resources to help you get started:

Installation

To get started with Neo4j, you'll need to install it on your computer. You can download the latest version of Neo4j from the official website: https://neo4j.com/download/

Documentation

The Neo4j documentation is a great resource for learning about the features and capabilities of the database. You can find the documentation here: https://neo4j.com/docs/

Tutorials

There are many tutorials available online that can help you learn how to use Neo4j. Here are some resources to get you started:

Neo4j Tutorial for Beginners: https://www.tutorialspoint.com/neo4j/index.htm
Neo4j Tutorial: Getting Started with Neo4j and Cypher: https://www.youtube.com/watch?v=UJwK6jAStmg
Neo4j Tutorial: Building a Movie Recommendation Engine: https://www.youtube.com/watch?v=4fzAMdLKC5k

Neo4j Concepts and Topics

Here are some of the key concepts and topics related to Neo4j that you should be familiar with:

Graph Data Model

The graph data model is the foundation of Neo4j. It is a flexible and scalable way to represent complex and interconnected data. The graph data model consists of nodes, relationships, and properties.

Indexing

Indexing is the process of creating indexes on your data to improve query performance. Neo4j supports several types of indexes, including full-text indexes, spatial indexes, and composite indexes.

Clustering

Clustering is the process of distributing your data across multiple servers to improve scalability and availability. Neo4j supports several types of clustering, including single-instance, high-availability, and causal clustering.

Security

Security is an important consideration when working with any database. Neo4j provides several security features, including authentication, authorization, and encryption.

Importing and Exporting Data

Importing and exporting data is a common task when working with databases. Neo4j provides several tools for importing and exporting data, including the Neo4j Import Tool and the APOC library.

Neo4j Categories

Here are some of the categories on the Neo4j Guide website that you should be familiar with:

Getting Started

The Getting Started category provides resources for beginners who are new to Neo4j. It includes tutorials, documentation, and other resources to help you get up and running with Neo4j.

Data Modeling

The Data Modeling category provides resources for designing and implementing a graph data model in Neo4j. It includes best practices, tips, and examples for creating a flexible and scalable data model.

Querying

The Querying category provides resources for writing and executing Cypher queries in Neo4j. It includes tips, tricks, and examples for optimizing query performance and writing complex queries.

Visualization

The Visualization category provides resources for visualizing data in Neo4j. It includes tools, libraries, and examples for creating interactive and informative visualizations of your data.

Integrations

The Integrations category provides resources for integrating Neo4j with other tools and technologies. It includes examples and tutorials for integrating Neo4j with popular programming languages, frameworks, and databases.

Conclusion

We hope this cheat sheet has provided you with a comprehensive overview of Neo4j and the resources available on the Neo4j Guide website. Whether you're a beginner or an experienced user, there is always more to learn about Neo4j and the graph database ecosystem. Happy graphing!

Common Terms, Definitions and Jargon

1. Neo4j: A graph database management system that uses nodes, relationships, and properties to store and retrieve data.
2. Graph database: A database that uses graph structures to store and organize data.
3. Node: A data point in a graph database that represents an entity or object.
4. Relationship: A connection between two nodes in a graph database that represents a connection or interaction between entities.
5. Property: A key-value pair that is associated with a node or relationship in a graph database.
6. Cypher: A query language used to interact with Neo4j databases.
7. Index: A data structure used to optimize queries in a graph database.
8. Label: A tag that is associated with a node in a graph database to categorize it.
9. Path: A sequence of nodes and relationships that connect two nodes in a graph database.
10. Traversal: A process of exploring a graph database by following relationships between nodes.
11. Graph theory: A mathematical field that studies graphs and their properties.
12. Degree: The number of relationships a node has in a graph database.
13. Centrality: A measure of the importance of a node in a graph database.
14. Community detection: A process of identifying groups of nodes that are densely connected in a graph database.
15. PageRank: An algorithm used to rank nodes in a graph database based on their importance.
16. Betweenness: A measure of the centrality of a node based on the number of shortest paths that pass through it in a graph database.
17. Closeness: A measure of the centrality of a node based on the average distance to all other nodes in a graph database.
18. Modularity: A measure of the quality of community structure in a graph database.
19. Clustering coefficient: A measure of the density of connections between a node's neighbors in a graph database.
20. Degree distribution: A distribution of the number of nodes with a given degree in a graph database.

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