--- title: Using Neo4J’s graph database for AI in Azure | daily.dev description: Using Neo4J's graph database in Azure allows for the implementation of retrieval-augmented generation (RAG), improving grounding in private data. The graph... canonical: https://daily.dev/posts/using-neo4j-s-graph-database-for-ai-in-azure-yfbgn3yql twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Using Neo4J’s graph database for AI in Azure | daily.dev og:description: Using Neo4J's graph database in Azure allows for the implementation of retrieval-augmented generation (RAG), improving grounding in private data. The graph... og:url: https://daily.dev/posts/using-neo4j-s-graph-database-for-ai-in-azure-yfbgn3yql og:image: https://api.daily.dev/og/posts/yFbgN3yqL.png og:image:alt: Using Neo4J’s graph database for AI in Azure og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Using Neo4J’s graph database for AI in Azure **[InfoWorld](https://daily.dev/sources/infoworld)** · 6 min read · 0 upvotes · 0 comments ## Summary Using Neo4J's graph database in Azure allows for the implementation of retrieval-augmented generation (RAG), improving grounding in private data. The graph database, such as Neo4j, provides a tool to understand and visualize relationships in data, supporting both humans and machines. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#architecture](https://daily.dev/tags/architecture), [#azure-ai](https://daily.dev/tags/azure-ai), [#llm](https://daily.dev/tags/llm), [#neo4j](https://daily.dev/tags/neo4j) [View this post on daily.dev](https://daily.dev/posts/using-neo4j-s-graph-database-for-ai-in-azure-yfbgn3yql) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Using Neo4J’s graph database for AI in Azure","url":"https://daily.dev/posts/using-neo4j-s-graph-database-for-ai-in-azure-yfbgn3yql","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/using-neo4j-s-graph-database-for-ai-in-azure-yfbgn3yql"},"datePublished":"2024-04-04T09:01:23.036Z","dateModified":"2025-09-06T02:35:33.267Z","description":"Using Neo4J's graph database in Azure allows for the implementation of retrieval-augmented generation (RAG), improving grounding in private data. The graph...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/4d403f2150f1dbd01dfa81f5c601b3ef?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/4d403f2150f1dbd01dfa81f5c601b3ef?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"InfoWorld","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"InfoWorld","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/bf6d68a999064029b0bb09aa6268f1f3","url":"https://daily.dev/sources/infoworld"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/using-neo4j-s-graph-database-for-ai-in-azure-yfbgn3yql","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"architecture,azure-ai,llm,neo4j","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"InfoWorld","item":"https://daily.dev/sources/infoworld"},{"@type":"ListItem","position":3,"name":"Using Neo4J’s graph database for AI in Azure"}]} ```