---
sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Build a query using natural language in Graph Query Builder

# Build a query using natural language in Graph Query Builder {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
You can also ask a question in natural language, the Graph Query Builder populates the query in the builder and runs it to get results.

## Before you begin

Role required: kg_admin

## Procedure

1. Navigate to AllKnowledge graphGraph Query Builder.
2. Select a graph from the graph drop-down in the Input query for graph section.  
   If you select Enterprise Graph or Enterprise Graph (small), you will see an additional tag selection field to scope the available entities to specific tables.  
   Note:  
   Tags aren't available for user created graphs.

3. **Optional:** Select one or more tags from the drop-down, if you want to run a query using Enterprise Graph or Enterprise Graph (small).
4. Enter a natural language question in the Ask in natural language section.  
   Example: <kbd class="ph userinput">Show me all the incidents assigned to users in customer support department</kbd>.

5. Select an LLM to use from the following options:  
   * NowLLM
   * Claude
   * NowLLM-LTS
   * Gemini
   * GPT
   {#build-a-query-using-natural-language-in-graph-query-builder__ul_ets_qmf_bkc}
6. Select Run and build.  
   Graph Query Builder generates a query from your input, populates it in the query builder, runs it, and displays the results in the Query results section.
7. Review the generated query and edit it directly in the query builder.
8. **Optional:** Select Run to re-run the query after editing and save it, if you want to reuse it later.

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