--- title: Contextus: The AI that finds what you didn't know to... description: Contextus is a graph-guided AI discovery agent built on ArangoDB that surfaces latent connections in graph data that traditional search, RAG, or dashboards... canonical: https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-arango-vciep5a9g twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Contextus: The AI that finds what you didn't know to look for • Arango | daily.dev og:description: Contextus is a graph-guided AI discovery agent built on ArangoDB that surfaces latent connections in graph data that traditional search, RAG, or dashboards... og:url: https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-arango-vciep5a9g og:image: https://api.daily.dev/og/posts/VcIEP5A9g.png og:image:alt: Contextus: The AI that finds what you didn't know to look for • Arango 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. # Contextus: The AI that finds what you didn't know to look for • Arango **[ArangoDB](https://daily.dev/sources/arango)** · 6 min read · 0 upvotes · 0 comments ## Summary Contextus is a graph-guided AI discovery agent built on ArangoDB that surfaces latent connections in graph data that traditional search, RAG, or dashboards cannot find. It works in four stages: ingesting a graph and training a GNN on its structure, running BFS traversal to map structural neighborhoods, using cosine similarity between GNN embeddings to predict links between structurally similar but topologically distant nodes, and finally using a LangGraph ReAct agent to explain discoveries in domain-specific language. Unlike RAG systems that retrieve text or search that finds named entities, Contextus answers 'what didn't I know to ask?' by finding indirect pathways and latent relationships. It runs natively on ArangoDB's multi-model platform, storing graph, document, and vector data together without a separate vector database or ETL pipeline. Use cases span biomedical knowledge graphs, financial networks, HR org graphs, software repositories, and supply chains. A demo on a 27,583-node RISC-V chip design graph found architectural similarities between memory management units across separate processor repositories. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Graph Databases \+ LLMs: Why Connected Data Makes AI Smarter • Arango](https://daily.dev/posts/graph-databases-llms-why-connected-data-makes-ai-smarter-arango-gosgr4cvj) · ArangoDB · 1 upvotes · 0 comments - [Context Is an Architectural Imperative • Arango](https://daily.dev/posts/context-is-an-architectural-imperative-arango-mtgukz8ot) · ArangoDB · 1 upvotes · 0 comments --- Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#arangodb](https://daily.dev/tags/arangodb) [View this post on daily.dev](https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-arango-vciep5a9g) ```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":"Contextus: The AI that finds what you didn't know to look for • Arango","url":"https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-arango-vciep5a9g","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-arango-vciep5a9g"},"datePublished":"2026-06-17T19:20:19.070Z","dateModified":"2026-06-17T19:20:42.309Z","description":"Contextus is a graph-guided AI discovery agent built on ArangoDB that surfaces latent connections in graph data that traditional search, RAG, or dashboards...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d1f21762d579528b69a01e2a03da09c5?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d1f21762d579528b69a01e2a03da09c5?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"ArangoDB","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":"ArangoDB","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/fbc8110c9a404f69b5be76326939eff1","url":"https://daily.dev/sources/arango"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-arango-vciep5a9g","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"deep-learning,arangodb","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"ArangoDB","item":"https://daily.dev/sources/arango"},{"@type":"ListItem","position":3,"name":"Contextus: The AI that finds what you didn't know to look for • Arango"}]} ```