<!-- mobian-agent-page publisher="dailydev" canonical="https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-4agekxgap" -->

---
title: Contextus: The AI that finds what you didn’t know to...
description: Contextus is a graph-guided AI discovery agent built natively on ArangoDB that surfaces hidden connections within business data. Unlike conventional AI tools...
canonical: https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-4agekxgap
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 | daily.dev
og:description: Contextus is a graph-guided AI discovery agent built natively on ArangoDB that surfaces hidden connections within business data. Unlike conventional AI tools...
og:url: https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-4agekxgap
og:image: https://api.daily.dev/og/posts/4AgEkxgAp.png
og:image:alt: Contextus: The AI that finds what you didn’t know to look for
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

**[Agentic AI Context Builders](https://daily.dev/sources/agentic_ai_context_builders)** · [@markmilinkovich](https://daily.dev/markmilinkovich) · 2 min read · 1 upvotes · 0 comments

## Summary

Contextus is a graph-guided AI discovery agent built natively on ArangoDB that surfaces hidden connections within business data. Unlike conventional AI tools that treat data as flat text, it leverages graph structure through GNN embeddings, AQL traversal for BFS subgraph extraction, and heterogeneous graph support. It runs as a self-contained FastAPI application, ingests from Arango graphs, CSV datasets, or Open Graph Benchmark datasets, and supports OpenAI, Anthropic, and other LLM APIs.

## Content

**Your business data already contains the answers. The problem is that no search, dashboard, or AI tool was built to find them — because they’re hidden in the connections between things, not in the things themselves.**

Customer relationships. Supply chains. Biological pathways. Financial networks. Code repositories. All of these are fundamentally interconnected systems — and yet most AI tools treat this data as flat text, discarding the structural signal that makes graphs uniquely powerful.

Contextus is different. It is a graph-guided AI discovery agent that finds the connections your data already contains — but that no query, dashboard, or conventional AI system would ever surface.

**Built on Arango**

Contextus is built natively on Arango’s graph-native multi-modal and multi-model data platform — the only database that handles document, graph, and vector storage in a single system, without a vector database sidecar or a separate graph layer.

- GNN embeddings stored alongside node attributes in the same Arango collection
- AQL traversal for expressive, graph-native BFS subgraph extraction
- Heterogeneous graph support out of the box — multiple node and edge types, one named graph
- Direct ingestion from any existing Arango instance — no ETL pipeline needed

## **Get started**

Contextus runs as a self-contained FastAPI application with a built-in web UI. It ingests from any Arango graph, CSV dataset, or Open Graph Benchmark dataset, and requires an LLM API key: OpenAI, Anthropic, and others supported.

Read more: [https://arango.ai/blog/contextus-the-ai-that-finds-what-you-didnt-know-to-look-for/](https://arango.ai/blog/contextus-the-ai-that-finds-what-you-didnt-know-to-look-for/)

Contact Arango:

[https://arango.ai/contact-us/](https://arango.ai/contact-us/)

## 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
- [What NVIDIA GTC Made Clear: The Future of AI Is Context-Driven, And It Requires More Than a Single-Model Database • Arango](https://daily.dev/posts/what-nvidia-gtc-made-clear-the-future-of-ai-is-context-driven-and-it-requires-more-than-a-single-m-brxnwvtu0) · ArangoDB · 0 upvotes · 0 comments
- [“A data lake of nuance for AI agents to swim in”: AWS Context gets shipshape on reasoning](https://daily.dev/posts/a-data-lake-of-nuance-for-ai-agents-to-swim-in-aws-context-gets-shipshape-on-reasoning-b2kax0psv) · The New Stack · 0 upvotes · 0 comments
- [Why context is the biggest unlock for your AI strategy](https://daily.dev/posts/why-context-is-the-biggest-unlock-for-your-ai-strategy-vplu1mth2) · Atlassian · 1 upvotes · 0 comments

---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#architecture](https://daily.dev/tags/architecture), [#vector-search](https://daily.dev/tags/vector-search), [#fastapi](https://daily.dev/tags/fastapi), [#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-4agekxgap)

```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":"DiscussionForumPosting","mainEntityOfPage":"https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-4agekxgap","headline":"Contextus: The AI that finds what you didn’t know to look for","text":"Contextus is a graph-guided AI discovery agent built natively on ArangoDB that surfaces hidden connections within business data. Unlike conventional AI tools that treat data as flat text, it leverages graph structure through GNN embeddings, AQL traversal for BFS subgraph extraction, and heterogeneous graph support. It runs as a self-contained FastAPI application, ingests from Arango graphs, CSV datasets, or Open Graph Benchmark datasets, and supports OpenAI, Anthropic, and other LLM APIs.","url":"https://daily.dev/posts/contextus-the-ai-that-finds-what-you-didn-t-know-to-look-for-4agekxgap","datePublished":"2026-07-13T17:20:21.555Z","dateModified":"2026-09-13T20:50:10.318Z","author":{"@type":"Person","name":"Mark Milinkovich","url":"https://daily.dev/markmilinkovich","image":"https://lh3.googleusercontent.com/a/ACg8ocJCYLxu_LnQ_TcMzMviS7-GiTWjxBgERhNjopW5PazGDwo0XL4=s96-c","description":"I head product marketing for Arango (arango.ai).","interactionStatistic":{"@type":"InteractionCounter","interactionType":{"@type":"EndorseAction"},"userInteractionCount":30}},"image":"https://media.daily.dev/image/upload/s--CbPxwGQk--/f_auto/v1783963221/posts/4AgEkxgAp?_a=BAMAMicg0","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"isPartOf":{"@type":"WebPage","url":"https://daily.dev/squads/agentic_ai_context_builders","name":"Agentic AI Context Builders"}}
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Agentic AI Context Builders","item":"https://daily.dev/squads/agentic_ai_context_builders"},{"@type":"ListItem","position":3,"name":"Contextus: The AI that finds what you didn’t know to look for"}]}
```

