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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61 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 Workshop6 mentions
- What is Neo4j?Graph Databasesthis lesson, you will learn about graphs and the elements that make up a Neo4j graph database3 mentions
- Graphs are EverywhereGraph Databasesgraph database is a great fit when you need3 mentions
Zero to Production Hands-On Workshop9 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
- What is Neo4j?Graph DatabasesNeo4j is a graph database that stores data in a3 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
- Getting StartedIntroductionexplore unstructured datasets and how they can be modeled and indexed in a graph database1 mention
- Import data with Python and LangChainImporting unstructured datathen load the chunks into a Neo4j graph database2 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
- Neo4jGraphNeo4j and LangChainwill modify the simple LangChain agent to be able to answer questions about a graph database1 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
- Spring Data Neo4j Building BlocksGetting Startedprogramming model for integrating with the Neo4j 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
Getting Started with Neo4j Document Intelligence2 mentions
- The Challenge of Unstructured DataUnderstanding Document Intelligencetraditional approach to extracting knowledge from documents looks like Why a graph database is well suited to connected document2 mentions
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
- Managing Organizations, Projects, and InstancesAura Administrationorganizes your graph databases into a three-level hierarchy: organizations, projects, and1 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
- Introduction To GraphQLSetup and Course Overviewfor relational databases and Cypher for graph databases2 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