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epelton
Helper I
Helper I

Transform to a Graph Dataset in neo4j workspace in fabric is greyed out

After adding a lakehouse to a Graph Dataset using a neo4j workload, the Transform to a Graph Dataset is greyed out.

I've checked the requirements here and the only one I'm not sure on is Generative AI assistance enabled, which I haven't been able to find more info on. 
Workload for Microsoft Fabric - Neo4j Aura

 

  • Public end point for Microsoft Fabric.

  • Microsoft Fabric Capacity, or Free Trial.

  • An AuraDB Professional instance or Free Trial.

  • Single Sign-On login with EntraID (see Microsoft Entra ID SSO for more information).

  • Tool authentication enabled for the database.

  • Generative AI assistance enabled.

1 ACCEPTED SOLUTION
v-sgandrathi
Community Support
Community Support

Hi @epelton,

Thank you for reporting the issue.

 

The “Transform to a Graph Dataset” option being greyed out in the Neo4j workspace within Microsoft Fabric usually indicates that one or more prerequisites are not fully met. Based on your description, the most likely reason is that “Generative AI assistance” is not enabled in your Neo4j AuraDB instance.

To resolve this, please follow these steps:

  1. Log into your Neo4j AuraDB Professional (or trial) instance.
  2. Navigate to the Settings section of your database.
  3. Ensure that “Generative AI assistance” is turned ON. This setting is mandatory to enable the graph model transformation feature.

Additionally, please ensure the following requirements are in place:

  • You are working within a Microsoft Fabric Capacity workspace (or Free Trial).
  • The Neo4j workload is enabled in the workspace.
  • You are using Microsoft Entra ID (SSO) for authentication.
  • Tool authentication is enabled in your AuraDB database.
  • You’ve selected a valid Lakehouse with at least one table for transformation.

Once Generative AI assistance is enabled and all conditions are met, the “Transform to a Graph Dataset” button should become active.

If this solution worked for you, kindly mark it as Accept as Solution and feel free to give a Kudos, it would be much appreciated!

 

Regards,
Sahasra_CST Member.

View solution in original post

4 REPLIES 4
v-sgandrathi
Community Support
Community Support

Hi @epelton,

Thank you for reporting the issue.

 

The “Transform to a Graph Dataset” option being greyed out in the Neo4j workspace within Microsoft Fabric usually indicates that one or more prerequisites are not fully met. Based on your description, the most likely reason is that “Generative AI assistance” is not enabled in your Neo4j AuraDB instance.

To resolve this, please follow these steps:

  1. Log into your Neo4j AuraDB Professional (or trial) instance.
  2. Navigate to the Settings section of your database.
  3. Ensure that “Generative AI assistance” is turned ON. This setting is mandatory to enable the graph model transformation feature.

Additionally, please ensure the following requirements are in place:

  • You are working within a Microsoft Fabric Capacity workspace (or Free Trial).
  • The Neo4j workload is enabled in the workspace.
  • You are using Microsoft Entra ID (SSO) for authentication.
  • Tool authentication is enabled in your AuraDB database.
  • You’ve selected a valid Lakehouse with at least one table for transformation.

Once Generative AI assistance is enabled and all conditions are met, the “Transform to a Graph Dataset” button should become active.

If this solution worked for you, kindly mark it as Accept as Solution and feel free to give a Kudos, it would be much appreciated!

 

Regards,
Sahasra_CST Member.

Hi @epelton,

 

We wanted to check if you had a chance to review our last reply. Let us know if it helped or if you need more guidance, we're always happy to help further.

If the solution worked for you, please click Accept as Solution and feel free to leave a Kudos for visibility.

Looking forward to hearing from you!

 

Happy to see you here in the Microsoft Fabric Community!

Hi @epelton,

 

We wanted to follow up to see if our suggestion was helpful. Please let us know how things are progressing and if you are still encountering any issues.

If the response resolved your problem, you may mark it as the solution and give it a thumbs up to assist others in the community as well.

 

Thank you.

Hi @epelton,

 

We strive to make sure every issue gets addressed completely. If the previous answer helped, that’s great, please mark it as Accepted and consider giving it a Kudos.

Still facing issues? Just reply here and we’ll be right with you.

 

Thank you for being a valued part of the community,

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