# Source: https://docs.hypermode.com/agents/30-days-of-agents/day-21.md

# Day 21: Dgraph - Graph Data Modeling for Knowledge Graphs

> Master advanced graph data modeling with Dgraph. Learn key concepts, load sample RDF data from news articles, and explore different types of knowledge graphs including lexical, domain, visual, and geospatial.

<Card title="Day 21 challenge" icon="project-diagram">
  **Goal**: master advanced graph data modeling concepts with Dgraph

  **Theme**: context engineering week - sophisticated knowledge graph architecture

  **Time investment**: \~25 minutes
</Card>

Welcome to Day 21! Yesterday you explored GraphRAG with Neo4j. Today you'll
advance to **Dgraph** - a distributed graph database designed for modern
applications. You'll learn sophisticated data modeling concepts and build
knowledge graphs from real-world news data.

## What you'll accomplish today

* Understand key Dgraph concepts and architecture
* Load sample RDF data from a news article knowledge graph
* Explore different types of knowledge graphs (lexical, domain, visual,
  geospatial)
* Model complex relationships and schema design
* Connect to the hyper-news example project for real-world data

<Warning>
  This introduces advanced graph database concepts. You'll work with RDF data
  formats and sophisticated schema design patterns that differ from traditional
  databases.
</Warning>

We'll use the [hyper-news project](https://github.com/johnymontana/hyper-news)
as our example - a news article knowledge graph that demonstrates real-world
complexity using data from the New York Times API.

### Understanding key Dgraph concepts

Dgraph differs from other graph databases in several important ways:

#### Dgraph architecture

Dgraph makes

* **Distributed by design**: Automatically shards data across multiple nodes
* **ACID transactions**: Full transactional consistency across the distributed
  system
* **GraphQL native**: Direct GraphQL support without translation layers
* **Type system**: Strong typing with schema validation

#### Core concepts

* **Predicates**: Properties or relationships between nodes (similar to edges)
* **UIDs**: Unique identifiers for nodes (automatically managed)
* **Facets**: Properties on predicates (metadata about relationships)
* **Types**: Schema definitions that group predicates
* **Indexes**: Optimizations for specific query patterns

#### Graph data modeling

<img src="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-graph-model.png?fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=449f11842ea06357fec8779acf4ec4ee" alt="hyper-news graph data model" width="3538" height="2624" data-path="images/agents/30-days-of-agents/day-21-graph-model.png" srcset="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-graph-model.png?w=280&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=3e382816a4fbef754805497ee465db47 280w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-graph-model.png?w=560&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=1a70c173021135d6fddeb81d361c827e 560w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-graph-model.png?w=840&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=c75af2207ff12c7d3d56b1cd1cb4f271 840w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-graph-model.png?w=1100&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=21c92de449a73e65e5193c3a0da79132 1100w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-graph-model.png?w=1650&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=2aa833ae12b420de6f4fde8798142c99 1650w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-graph-model.png?w=2500&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=7179f7ca3e7dfaa73272def18f716de4 2500w" data-optimize="true" data-opv="2" />

## Step 1: Create your Hypermode Graph instance

We'll use the [hyper-news project](https://github.com/johnymontana/hyper-news)
as our example - a news article knowledge graph that demonstrates real-world
complexity using data from the New York Times API.

### Project structure

The hyper-news knowledge graph contains:

* **Articles**: News articles with content, metadata, and relationships
* **Entities**: People, organizations, locations mentioned in articles
* **Topics**: Subject categories and themes
* **Sources**: News outlets and publishers
* **Temporal data**: Publication dates and time-based relationships

## Create your Hypermode graph

<Steps>
  <Step title="Sign in to Hypermode">
    Navigate to [Hypermode](https://hypermode.com/login) and sign in.
  </Step>

  <Step title="Create a new graph">
    Select the "Develop" tab and click "Create Graph". Give your graph a name and
    select "Create Graph".

        <img src="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-1.png?fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=fc1952b556fceeeebdf7497399259779" alt="create new graph" width="1014" height="816" data-path="images/agents/30-days-of-agents/day-21-hypermode-1.png" srcset="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-1.png?w=280&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=5c928920b71924e807b346c8c582dd1c 280w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-1.png?w=560&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=2766ee3e2b074341a10eb2d33e571dae 560w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-1.png?w=840&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=ad15101b5fc61ffe8253e2f28d353934 840w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-1.png?w=1100&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=22e340cbedd8f9d23770c45da8d1dcf3 1100w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-1.png?w=1650&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=96b7334470d37841eec91e176c5606a2 1650w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-1.png?w=2500&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=f94918e85580801f5972b618f25c8945 2500w" data-optimize="true" data-opv="2" />
  </Step>

  <Step title="Copy the Dgraph connection string">
    Copy the `dgraph://` connection string, you'll use this to connect to your
    Hypermode Graph instance.

        <img src="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-2.png?fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=5f54a0e860c50a4a64e98e0213f2298c" alt="dgraph connection string" width="2026" height="848" data-path="images/agents/30-days-of-agents/day-21-hypermode-2.png" srcset="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-2.png?w=280&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=c6d62fe8e875bf3053efe97e07ecb951 280w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-2.png?w=560&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=24b7e5237b1ceab0890cf6a9bb0a9c9c 560w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-2.png?w=840&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=e2eca8fa037eb49146c03a11069c84f3 840w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-2.png?w=1100&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=d49395b86ba4d714e08eeafdd82eada9 1100w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-2.png?w=1650&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=7733154367ebb0934f620ec7d92a8fa8 1650w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-2.png?w=2500&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=6d9e0236cda27510f91c741f92b4b2f6 2500w" data-optimize="true" data-opv="2" />
  </Step>

  <Step title="Open the Ratel interface">
    Navigate to [ratel.hypermode.com](https://ratel.hypermode.com) and connect to
    your Hypermode Graph instance using the `dgraph://` connection string

        <img src="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-3.png?fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=99c8f1d8aaeb425dc7709c15ba3332bc" alt="connect to graph" width="1678" height="838" data-path="images/agents/30-days-of-agents/day-21-hypermode-3.png" srcset="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-3.png?w=280&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=35512374272e8fdedb6ed495a8d91dd1 280w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-3.png?w=560&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=018664a1384e8b7d0437ca5747f3b03b 560w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-3.png?w=840&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=ee0a28a6ed326e238cb0d8bb0c94b741 840w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-3.png?w=1100&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=6d6e9e9ab466ce4b080ba1e2194a2fc7 1100w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-3.png?w=1650&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=f108ce982ae45477a488fbaa676650f8 1650w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-3.png?w=2500&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=daaa12d2b35dc1eff393413333be91de 2500w" data-optimize="true" data-opv="2" />
  </Step>

  <Step title="Update the graph schema">
        <img src="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-update-schema.png?fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=7a538e4c31e15ef3c61571413285a8b4" alt="update graph schema" width="1642" height="950" data-path="images/agents/30-days-of-agents/day-21-ratel-update-schema.png" srcset="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-update-schema.png?w=280&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=ea560d0bc6fe62acbc90aaa79ca715b4 280w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-update-schema.png?w=560&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=b157178bd34f16967487c391e78bac5b 560w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-update-schema.png?w=840&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=f49cd647f6b5646a84979cc02f3aecf2 840w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-update-schema.png?w=1100&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=e7a7b0add03d1fc4e27430f3b5d604ee 1100w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-update-schema.png?w=1650&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=a06b6d721cb1fc846a0b0a363dc01aa9 1650w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-update-schema.png?w=2500&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=b6a3e3d4d8fdbca0ffa73bba30348033 2500w" data-optimize="true" data-opv="2" />

    Select "Schema" from Ratel's left navigation, then select "Bulk Edit" and copy
    and paste the following graph schema to replace the default schema, then select
    "Apply

    <Accordion title="Copy this DQL schema to update your graph schema">
      ```dql
      <Article.abstract>: string @index(term) .
      <Article.embedding>: float32vector @index(hnsw(metric:"euclidean")) .
      <Article.geo>: [uid] @reverse .
      <Article.org>: [uid] .
      <Article.person>: [uid] .
      <Article.published>: datetime .
      <Article.title>: default .
      <Article.topic>: [uid] @reverse .
      <Article.uri>: default .
      <Article.url>: default .
      <Author.article>: [uid] @reverse .
      <Author.name>: default .
      <Geo.location>: geo @index(geo) .
      <Geo.name>: default .
      <Image.article>: [uid] .
      <Image.caption>: default .
      <Image.url>: default .
      <Organization.name>: default .
      <Person.name>: default .
      <Topic.name>: string @index(fulltext) .
      <dgraph.drop.op>: string .
      <dgraph.graphql.p_query>: string @index(sha256) .
      <dgraph.graphql.schema>: string .
      <dgraph.graphql.xid>: string @index(exact) @upsert .
      type <dgraph.graphql> {
        dgraph.graphql.schema
        dgraph.graphql.xid
      }
      type <dgraph.graphql.persisted_query> {
        dgraph.graphql.p_query
      }
      ```
    </Accordion>
  </Step>

  <Step title="Import the sample data into your graph">
    Load RDF data into your graph, navigate to the
    [Ratel](https://ratel.hypermode.com) interface and connect to your graph using
    the Dgraph connection string. Then run the following mutation in Ratel (be sure
    to select the Mutate tab):

    <Accordion title="Copy this DQL mutation to load sample data">
      {/* <!-- markdownlint-disable MD013 --> */}

      ```dql
      {
        set {
          _:89285c4b-ab8b-424c-9563-3236d425c2c8 <dgraph.type> "Article" .
      _:89285c4b-ab8b-424c-9563-3236d425c2c8 <Article.title> "The Scammer's Manual: How to Launder Money and Get Away With It" .
      _:89285c4b-ab8b-424c-9563-3236d425c2c8 <Article.abstract> "Documents and insiders reveal how one of the world's major money laundering networks operates." .
      _:89285c4b-ab8b-424c-9563-3236d425c2c8 <Article.uri> "nyt://article/6ff00f2a-405a-5b74-99e6-f98f9a409884" .
      _:89285c4b-ab8b-424c-9563-3236d425c2c8 <Article.url> "https://www.nytimes.com/2025/03/23/world/asia/cambodia-money-laundering-huione.html" .
      _:89285c4b-ab8b-424c-9563-3236d425c2c8 <Article.published> "2025-03-23"^^<xs:dateTime> .
      _:89285c4b-ab8b-424c-9563-3236d425c2c8 <Article.embedding> "[-0.00092336035, 0.08019862, -0.20520164, -0.02801375, 0.0619933, -0.023047846, -0.024484178, 0.020529592, -0.019200675, -0.015409428, -0.056252223, 0.0053777467, 0.08128055, -0.016721966, 0.046918496, -0.04687526, -0.04218578, -0.028148863, -0.042824, 0.020917423, -0.054316618, -0.032370504, -0.028675629, 0.03997199, 0.08500988, 0.017144531, -0.024979042, -0.067222975, 0.004198151, -0.06910834, 0.02121037, -0.078714, -0.053253673, -0.021370014, -0.07213128, -0.02874543, 0.055938214, 0.034668747, -0.02257444, 0.015734173, 0.002615116, 0.037297964, -0.067191556, -0.07372232, 0.0028610034, -0.007968908, 0.0040147076, -0.01675361, 0.04276194, -0.07062117, -0.013656893, 0.069650106, 0.028920174, 0.044660687, 0.031548288, -0.037835848, -0.0064255716, 0.028911343, 0.0009169275, -0.075062, 0.087536186, 0.036825977, -0.007732731, 0.042635478, 0.024788087, -0.038203984, -0.023310525, 0.021034213, 0.00862608, -0.028094534, 0.038340803, -0.007804469, 0.019761235, -0.00019656407, 0.009244875, -0.0032964468, -0.008558698, 0.0132178115, 0.008608392, 0.064217165, 0.046111107, 0.041003242, 0.04581497, 0.020273658, 0.031235896, 0.037693854, -0.013772649, -0.057372384, -0.029200299, 0.053801484, 0.05163047, 0.0047667134, 0.037192836, 0.00623493, -0.02796813, 0.007358853, -0.035745107, 0.01275867, -0.068552606, 0.018099979, -0.020371858, -0.0604366, 0.02112771, 0.021530883, 0.0660968, 0.04888558, 0.009426717, -0.010862091, -0.002711214, 0.013900116, -0.0012326023, 0.020527879, -0.014266488, 0.03844581, 0.008625611, -0.01873364, 0.066690415, 0.0015498915, 0.009729749, 0.058517713, -0.017636323, -0.053251754, -0.023646954, 0.035909656, 0.069451794, 0.016912527, -0.02761872, 0.0029756494, 0.014486133, -0.012998973, 0.02205689, 0.0031078763, -0.010682541, -0.028948735, 0.04719423, 0.077531666, -0.03247138, -0.020979341, -0.031888198, 0.041427974, 0.030766841, 0.002485652, -0.011419673, -0.00673966, -0.023038143, 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      _:Article_100000010064414 <Article.abstract> "The judiciary will never surrender to the president its constitutional role to interpret the Constitution." .
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      _:Article_100000009988576 <Article.title> "The Scammer’s Manual: How to Launder Money and Get Away With It" .
      _:Article_100000009988576 <Article.abstract> "Documents and insiders reveal how one of the world’s major money laundering networks operates." .
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      _:Article_100000009988576 <Article.uri> "nyt://article/6ff00f2a-405a-5b74-99e6-f98f9a409884" .
      _:Article_100000009988576 <Article.url> "https://www.nytimes.com/2025/03/23/world/asia/cambodia-money-laundering-huione.html" .
      _:Article_100000009988576 <Article.published> "2025-03-23"^^<xs:dateTime> .
      _:Author_SelamGebrekidan <dgraph.type> "Author" .
      _:Author_SelamGebrekidan <Author.name> "Selam Gebrekidan" .
      _:Author_SelamGebrekidan <Author.article> _:Article_100000009988576 .
      _:Author_JoyDong <dgraph.type> "Author" .
      _:Author_JoyDong <Author.name> "Joy Dong" .
      _:Author_JoyDong <Author.article> _:Article_100000009988576 .
      _:Author_ChangWLee <dgraph.type> "Author" .
      _:Author_ChangWLee <Author.name> "Chang W. Lee" .
      _:Author_ChangWLee <Author.article> _:Article_100000009988576 .
      _:Author_WeiyiCai <dgraph.type> "Author" .
      _:Author_WeiyiCai <Author.name> "Weiyi Cai" .
      _:Author_WeiyiCai <Author.article> _:Article_100000009988576 .
      _:Topic_FraudsandSwindling <dgraph.type> "Topic" .
      _:Topic_FraudsandSwindling <Topic.name> "Frauds and Swindling" .
      _:Article_100000009988576 <Article.topic> _:Topic_FraudsandSwindling .
      _:Topic_MoneyLaundering <dgraph.type> "Topic" .
      _:Topic_MoneyLaundering <Topic.name> "Money Laundering" .
      _:Article_100000009988576 <Article.topic> _:Topic_MoneyLaundering .
      _:Topic_BankingandFinancialInstitutions <dgraph.type> "Topic" .
      _:Topic_BankingandFinancialInstitutions <Topic.name> "Banking and Financial Institutions" .
      _:Article_100000009988576 <Article.topic> _:Topic_BankingandFinancialInstitutions .
      _:Topic_RobberiesandThefts <dgraph.type> "Topic" .
      _:Topic_RobberiesandThefts <Topic.name> "Robberies and Thefts" .
      _:Article_100000009988576 <Article.topic> _:Topic_RobberiesandThefts .
      _:Topic_VirtualCurrency <dgraph.type> "Topic" .
      _:Topic_VirtualCurrency <Topic.name> "Virtual Currency" .
      _:Article_100000009988576 <Article.topic> _:Topic_VirtualCurrency .
      _:Topic_ComputersandtheInternet <dgraph.type> "Topic" .
      _:Topic_ComputersandtheInternet <Topic.name> "Computers and the Internet" .
      _:Article_100000009988576 <Article.topic> _:Topic_ComputersandtheInternet .
      _:Topic_audioneutralimmersive <dgraph.type> "Topic" .
      _:Topic_audioneutralimmersive <Topic.name> "audio-neutral-immersive" .
      _:Article_100000009988576 <Article.topic> _:Topic_audioneutralimmersive .
      _:Topic_audioneutralsuspenseful <dgraph.type> "Topic" .
      _:Topic_audioneutralsuspenseful <Topic.name> "audio-neutral-suspenseful" .
      _:Article_100000009988576 <Article.topic> _:Topic_audioneutralsuspenseful .
      _:Organization_HuioneGroup <dgraph.type> "Organization" .
      _:Organization_HuioneGroup <Organization.name> "Huione Group" .
      _:Article_100000009988576 <Article.org> _:Organization_HuioneGroup .
      _:Organization_TetherOperationsLtd <dgraph.type> "Organization" .
      _:Organization_TetherOperationsLtd <Organization.name> "Tether Operations Ltd" .
      _:Article_100000009988576 <Article.org> _:Organization_TetherOperationsLtd .
      _:Organization_TelegramLLC <dgraph.type> "Organization" .
      _:Organization_TelegramLLC <Organization.name> "Telegram LLC" .
      _:Article_100000009988576 <Article.org> _:Organization_TelegramLLC .
      _:Geo_PhnomPenhCambodia <dgraph.type> "Geo" .
      _:Geo_PhnomPenhCambodia <Geo.name> "Phnom Penh (Cambodia)" .
      _:Geo_PhnomPenhCambodia <Geo.location> "{'type': 'Point', 'coordinates': [104.929, 11.549]}"^^<geo:geojson> .
      _:Article_100000009988576 <Article.geo> _:Geo_PhnomPenhCambodia .
      _:Geo_Cambodia <dgraph.type> "Geo" .
      _:Geo_Cambodia <Geo.name> "Cambodia" .
      _:Geo_Cambodia <Geo.location> "{'type': 'Point', 'coordinates': [104.9254, 11.5633]}"^^<geo:geojson> .
      _:Article_100000009988576 <Article.geo> _:Geo_Cambodia .
      _:caa44a94-9490-496b-be29-cc0e8e8ddaeb <dgraph.type> "Image" .
      _:caa44a94-9490-496b-be29-cc0e8e8ddaeb <Image.caption> "Huione is a constellation of affiliates. The headquarters of one of its companies, Huione Pay, is in Phnom Penh, Cambodia." .
      _:caa44a94-9490-496b-be29-cc0e8e8ddaeb <Image.url> "https://static01.nyt.com/images/2025/03/10/multimedia/00int-moneylaundering-03-hpgl/00int-moneylaundering-03-hpgl-thumbStandard.jpg" .
      _:caa44a94-9490-496b-be29-cc0e8e8ddaeb <Image.article> _:Article_100000009988576 .
      _:Article_100000010036616 <dgraph.type> "Article" .
      _:Article_100000010036616 <Article.title> "Why Dads Take Their Gay Sons to Hooters" .
      _:Article_100000010036616 <Article.abstract> "Many fathers and grandfathers take their gay sons to the bar. It’s become a place of refuge — and how that happened is a curious story." .
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      _:Article_100000010036616 <Article.uri> "nyt://article/70c88a70-e850-57ce-b62b-b5ccd5c7c939" .
      _:Article_100000010036616 <Article.url> "https://www.nytimes.com/2025/03/23/opinion/hooters-gay-family.html" .
      _:Article_100000010036616 <Article.published> "2025-03-23"^^<xs:dateTime> .
      _:Author_PeterRothpletz <dgraph.type> "Author" .
      _:Author_PeterRothpletz <Author.name> "Peter Rothpletz" .
      _:Author_PeterRothpletz <Author.article> _:Article_100000010036616 .
      _:Topic_HomosexualityandBisexuality <dgraph.type> "Topic" .
      _:Topic_HomosexualityandBisexuality <Topic.name> "Homosexuality and Bisexuality" .
      _:Article_100000010036616 <Article.topic> _:Topic_HomosexualityandBisexuality .
      _:Topic_MenandBoys <dgraph.type> "Topic" .
      _:Topic_MenandBoys <Topic.name> "Men and Boys" .
      _:Article_100000010036616 <Article.topic> _:Topic_MenandBoys .
      _:Topic_Minorities <dgraph.type> "Topic" .
      _:Topic_Minorities <Topic.name> "Minorities" .
      _:Article_100000010036616 <Article.topic> _:Topic_Minorities .
      _:Topic_Grandparents <dgraph.type> "Topic" .
      _:Topic_Grandparents <Topic.name> "Grandparents" .
      _:Article_100000010036616 <Article.topic> _:Topic_Grandparents .
      _:Topic_BarsandNightclubs <dgraph.type> "Topic" .
      _:Topic_BarsandNightclubs <Topic.name> "Bars and Nightclubs" .
      _:Article_100000010036616 <Article.topic> _:Topic_BarsandNightclubs .
      _:Topic_Discrimination <dgraph.type> "Topic" .
      _:Topic_Discrimination <Topic.name> "Discrimination" .
      _:Article_100000010036616 <Article.topic> _:Topic_Discrimination .
      _:Topic_WaitersandWaitresses <dgraph.type> "Topic" .
      _:Topic_WaitersandWaitresses <Topic.name> "Waiters and Waitresses" .
      _:Article_100000010036616 <Article.topic> _:Topic_WaitersandWaitresses .
      _:Topic_CustomerRelations <dgraph.type> "Topic" .
      _:Topic_CustomerRelations <Topic.name> "Customer Relations" .
      _:Article_100000010036616 <Article.topic> _:Topic_CustomerRelations .
      _:Topic_Restaurants <dgraph.type> "Topic" .
      _:Topic_Restaurants <Topic.name> "Restaurants" .
      _:Article_100000010036616 <Article.topic> _:Topic_Restaurants .
      _:Organization_Hooters <dgraph.type> "Organization" .
      _:Organization_Hooters <Organization.name> "Hooters" .
      _:Article_100000010036616 <Article.org> _:Organization_Hooters .
      _:0769f696-2e07-4fa9-9ee7-9992ec28ecb7 <dgraph.type> "Image" .
      _:0769f696-2e07-4fa9-9ee7-9992ec28ecb7 <Image.caption> "" .
      _:0769f696-2e07-4fa9-9ee7-9992ec28ecb7 <Image.url> "https://static01.nyt.com/images/2025/03/23/opinion/23rothpletz-image/23rothpletz-image-thumbStandard.jpg" .
      _:0769f696-2e07-4fa9-9ee7-9992ec28ecb7 <Image.article> _:Article_100000010036616 .
      _:Article_100000010065487 <dgraph.type> "Article" .
      _:Article_100000010065487 <Article.title> "Keir Starmer on Putin, Trump and Europe’s Challenge: ‘We’ve Known This Moment Was Coming’" .
      _:Article_100000010065487 <Article.abstract> "The British prime minister said in a series of conversations that the tectonic shifts in America’s relationship with Europe and Russia had to be a ‘galvanizing moment.’" .
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        }
      }
      ```

      {/* <!-- markdownlint-enable MD013 --> */}
    </Accordion>

        <img src="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-4.png?fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=20856ae8a4b2daad1a1c06ba22c55b62" alt="import sample data" width="2596" height="1804" data-path="images/agents/30-days-of-agents/day-21-hypermode-4.png" srcset="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-4.png?w=280&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=184b5406c086d9d87cb6883062bdeedf 280w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-4.png?w=560&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=9df4c2e45f53d08100eecf61702946e7 560w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-4.png?w=840&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=647324bf259b705fb890b2342717668b 840w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-4.png?w=1100&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=2ee71f8a6833cd0ae45eaa2c54662b8b 1100w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-4.png?w=1650&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=cad4015f3a1c74d4d7d6f839512dfb2c 1650w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-hypermode-4.png?w=2500&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=d4772a7109b961bab1cb07aa0f7ba1c6 2500w" data-optimize="true" data-opv="2" />
  </Step>
</Steps>

## Verify your graph

Run the following query in Ratel to verify your graph data is loaded:

```dql
{
  articles(func:type(Article),first:100) {
    Article.title
    Article.uri
    Article.url
    Article.published
    Article.abstract
    Article.topic {
      Topic.name
    }
    Article.org {
      Organization.name
    }
    Article.geo {
      Geo.name
    }
  }
}
```

<img src="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-query.png?fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=69344a29e1c2d890db6073277f1ff737" alt="querying the graph using Ratel" width="2594" height="1844" data-path="images/agents/30-days-of-agents/day-21-ratel-query.png" srcset="https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-query.png?w=280&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=0e97591f01e44bbf91e7530437ec5b9e 280w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-query.png?w=560&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=132d53a6d3d7c801e4109aecc598f540 560w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-query.png?w=840&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=73d2a4194485dcb82d8dae4752e2e984 840w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-query.png?w=1100&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=c90fe8204393562837f677ae19ef263e 1100w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-query.png?w=1650&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=c9bb85c751a1f505e41c99bac27646e6 1650w, https://mintcdn.com/hypermode/hnPwKRjst4guczp3/images/agents/30-days-of-agents/day-21-ratel-query.png?w=2500&fit=max&auto=format&n=hnPwKRjst4guczp3&q=85&s=31e6e48def07517177d7a403fc1c3a28 2500w" data-optimize="true" data-opv="2" />

## What you've accomplished

In 25 minutes, you've mastered advanced graph data modeling:

**Dgraph architecture**: understood distributed graph databases and modern
capabilities

**Real-world data modeling**: worked with complex news article knowledge graphs

**Multi-type graphs**: explored lexical, domain, visual, and geospatial graph
patterns

**Advanced patterns**: learned temporal modeling, multi-modal integration, and
provenance tracking

**Agent integration**: connected sophisticated graph capabilities to your agents

## Next steps

In the next

<Card title="Tomorrow - Day 22" icon="arrow-right" href="/agents/30-days-of-agents/day-22">
  Master DQL (Dgraph Query Language) for complex graph queries and integrate
  Dgraph with your agents using multiple client libraries.
</Card>

## Pro tip for today

Experiment with different graph modeling approaches:

```text
Help me understand when to use different knowledge graph types:

1. For a customer support system: What type of knowledge graph would be most effective?
2. For a research assistant: How would you model academic papers and citations?
3. For a business intelligence system: What relationships matter most for competitive analysis?
4. For a content recommendation system: How do you balance multiple types of similarity?

Show me schema examples and explain the reasoning behind each design choice.
```

This develops intuition for choosing the right graph modeling approach for
different use cases.

***

**Time to complete**: \~25 minutes

* **Skills learned** Dgraph architecture, RDF data modeling, multi-type
  knowledge graphs, temporal and provenance patterns, agent integration
  strategies

**Next**: day 22 - DQL querying and multi-language client integration

<Tip>
  **Remember** Advanced graph modeling is about representing not just what you
  know, but how you know it, when you knew it, and how confident you are about
  it. This metadata becomes crucial for agent reasoning.
</Tip>