GraphAcademy

Graphs

graph database

A database that stores data as nodesA vertex in a graph. In a property graph it can carry labels and properties. and relationshipsA named, directed connection between two nodes. Every relationship has a type, a start node and an end node. rather than in tables or documents.

Also written: graph databases

Lessons that use this term

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62 lessons use this term. The 40 with the highest term density are listed here.

Importing CSV data into Neo4j2 mentions

  • Getting StartedImporting Datathis course, you will create a graph database of movies from a set of CSV1 mention
  • Other Import OptionsImporting data considerationsa custom application to load data into the graph database is a good option if you have complex business rules or need to integrate with other1 mention

Neo4j Fundamentals19 mentions

  • Thinking in GraphsGraph Thinkinghave learned that Graph databases store data in a structure of nodes and9 mentions
  • What is Neo4j?Graph Thinkingis a graph database that stores data as nodes and4 mentions
  • Graphs Are EverywhereGraph Thinkingdatabases originate from graph theory, a concept created in 1730's3 mentions
  • Reading GraphsQuerying Graphscan use the query language Cypher to interact with a Neo4j graph database2 mentions
  • Neo4j ToolsExploring Neo4jprovides a complete ecosystem of tools for working with the Neo4j graph database,1 mention

Importing Data Fundamentals2 mentions

  • Getting startedImporting data into Neo4jwill use the Neo4j Import tool to create a graph database of movies from CSV1 mention

AuraDB Fundamentals11 mentions

  • About AuraIntroduction to Neo4j AuraIn this course, you will learn how to use Neo4j AuraDB, a fully managed graph database service in the5 mentions
  • AuraDB TiersIntroduction to Neo4j AuraIn the previous lesson you learned that AuraDB is Neo4j's managed graph database1 mention

Introduction to Graph Databases Workshop9 mentions

  • What is Neo4j?Graph DatabasesNeo4j is a graph database that stores data in a3 mentions
  • Thinking in GraphsGraph DatabasesDocument stores offer flexibility. Wide-column stores offer scalability for large datasets. Key-value stores provide simplicity and high performance. Graph databases enable efficient modeling and querying of complex3 mentions
  • Reading GraphsGraph Databasescan use the query language Cypher to interact with a Neo4j graph database2 mentions
  • Neo4j OptionsGet Neo4jmarketplace listings represent a quick and easy way of getting started with graph databases on the cloud platform of your1 mention

Zero to Production Hands-On Workshop9 mentions

  • What is Neo4j?Graph DatabasesNeo4j is a graph database that stores data in a3 mentions
  • Thinking in GraphsGraph DatabasesDocument stores offer flexibility. Wide-column stores offer scalability for large datasets. Key-value stores provide simplicity and high performance. Graph databases enable efficient modeling and querying of complex3 mentions
  • Reading GraphsGraph Databasescan use the query language Cypher to interact with a Neo4j graph database2 mentions
  • Neo4j OptionsGet Neo4jmarketplace listings represent a quick and easy way of getting started with graph databases on the cloud platform of your1 mention

Introduction to Vector Indexes and Unstructured Data3 mentions

Using Neo4j with LangChain4 mentions

  • Neo4j integrationNeo4j and LangChainsupports LangChain with dedicated modules and tools for working with graph databases, making it easier to build applications that leverage both LLMs and graph1 mention
  • Graph RetrievalVectorsallows you to combine the power of vector search with the rich context of a graph database, enabling more accurate and context-aware1 mention
  • Simple LangChain AgentNeo4j and LangChainwill update the agent to query a Neo4j graph database, retrieve information using RAG and GraphRAG, and dynamically generate Cypher queries based on user1 mention

Building Neo4j Applications with Spring Data5 mentions

  • Course Summary and Next StepsNext StepsBoot application that used Spring Data Neo4j to interact with data in a Neo4j graph database2 mentions
  • The Data Domain and the Graph ModelThe Application Domain Modelthe Neo4j graph database was designed around the graph data model, so there is no mapping required between the original human graph model and1 mention

Graph Data Modeling Fundamentals2 mentions

  • Eliminating Duplicate DataEliminating Duplicate Datato improve the speed of a set of queries, this is not always the case with a graph database1 mention

Neo4j & GenerativeAI Fundamentals4 mentions

  • GraphRAGRetrieval Augmented Generation (RAG)Retrieval Augmented Generation) is an approach that uses the strengths of graph databases to provide relevant and useful context to3 mentions
  • Creating Knowledge GraphsKnowledge Graphsthe graph - Transform and import the data into the graph database1 mention

Constructing Knowledge Graphs with Neo4j GraphRAG for Python1 mention

  • Extracting a schema from textKnowledge Graph Pipelinethe text, "Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc.", a simplified version of the extracted schema would1 mention

Neo4j and Generative AI Workshop3 mentions

  • LangChain AgentAgentsWhat questions can I answer using this graph database1 mention

Modeling and Importing Data into Neo4j Workshop5 mentions

  • Workshop OverviewIntroductiona product recommendation system by transforming relational data into a graph database2 mentions

Neo4j Administration Workshop1 mention

  • OptionsInstallinstallation or infrastructure management required Available as AuraDB (graph database) and AuraDS (data science) Scales automatically, with built-in backups and security Free tier available for1 mention

Neo4j Management, Optimization, and Refactoring Workshop1 mention

Get started with Graph Data Science3 mentions

  • Understanding graph data scienceGet started with the Graph Data Science librarydatabases take a different approach: they store relationships with the same level of importance as3 mentions

GraphRAG Hackathon4 mentions

  • Create your Neo4j instanceGet Started with AuraEverything you build today runs against a Neo4j graph database, so that is the first thing to set1 mention
  • Understanding Neo4jIntroduction to GraphRAGis a native graph database — it stores data as a network of nodes connected by1 mention
  • Understanding GraphRAGIntroduction to GraphRAGgraph database stores not just facts, but the connections between2 mentions

Developing with Neo4j MCP Tools1 mention

  • Summary & Next StepsUsing Neo4j MCP ToolsNeo4j's graph database capabilities combined with MCP enable developers to build applications that can reason over connected1 mention

Introduction to Neo4j & GraphQL2 mentions

Agent Memory in 90 Minutes1 mention

  • Explore your context graphGet ConnectedMemory Client: with short-term, long-term and reasoning memory, writing to a graph database1 mention

Related terms

traversal
Following relationships from one node to the next to reach other parts of a graph.19 shared lessons
AuraDB
The Aura product for transactional workloads.12 shared lessons
index
A structure over a property. The database reads it to find nodes or relationships by property value, rather than scanning every one.17 shared lessons
graph
A set of vertices, with edges joining pairs of them. Neo4j calls vertices nodes and edges relationships.50 shared lessons
Aura
Neo4j's fully managed cloud service.17 shared lessons
relationship
A named, directed connection between two nodes. Every relationship has a type, a start node and an end node.42 shared lessons
data model
The labels, relationship types and properties chosen to represent a domain.14 shared lessons
GraphRAG
Retrieval-augmented generation whose context comes from a knowledge graph, so the model can follow the relationships between facts.9 shared lessons

All glossary terms