MC1144612 – Dataverse – AI-powered Dataverse search enhancement update (archived)

Product:

Copilot, Microsoft 365 admin center, Microsoft Dataverse, Power Apps, Power Automate, Power Platform

Platform:

Online, US Instances, World tenant

Status:

Change type:

New feature

Links:

Details:

This is an update regarding the previous Message Center Post about Dataverse search from April 8th, 2025, which stated that the change would lead to an increase in Dataverse storage capacity consumption for database and file storage on May 12th, 2025.

This roll out was paused on April 10, 2025.

What is Dataverse search?
Dataverse search currently supports global searches for all model-driven apps using the "RelevanceSearch" index in the Power Platform Admin Center. Going forward, it will include both relevance and semantic indexes, reported as "DataverseSearch", improving the quality and knowledge experience for agents in Copilot Studio and other Power Platform features.

Change Category:
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Scope:
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Release Phase:

Created:
2025-08-30

updated:
2025-08-30

Task Type

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Docu to Check

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MS How does it affect me

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MS Preperations

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MS Urgency

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MS workload name

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summary for non-techies**

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Direct effects for Operations**

Increased Storage Consumption
The change will lead to an increase in Dataverse storage capacity consumption for database and file storage, potentially leading to higher costs and resource allocation issues.
   - roles: Database Administrator, IT Manager
   - references: https://aka.ms/11898/1, https://aka.ms/11898/10

User Experience Degradation
If the change is implemented without preparation, users may experience slower search performance and degraded functionality in model-driven apps due to increased load on the Dataverse search infrastructure.
   - roles: End User, Support Specialist
   - references: https://aka.ms/11898/11, https://aka.ms/11898/12

Operational Disruption
The automatic enabling of Dataverse search may disrupt existing workflows and processes, leading to confusion and inefficiencies among users who rely on specific functionalities.
   - roles: Business Analyst, Project Manager
   - references: https://aka.ms/11898/13, https://aka.ms/11898/14

Configutation Options**

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Opportunities**

Enhanced Search Capabilities
The integration of semantic indexing with Dataverse search will significantly improve the search accuracy and relevance for users. This enhancement will allow users to find information more efficiently, leading to improved productivity and user satisfaction.
   - next-steps: Conduct training sessions for end-users on how to leverage the new search capabilities effectively. Monitor user feedback to continuously refine search functionalities based on real-world usage.
   - roles: Data Analysts, Customer Service Agents, Sales Teams
   - references: https://aka.ms/11898/1, https://aka.ms/11898/11

Improved Knowledge Management
By allowing files and Dataverse tables to be used as knowledge sources, organizations can create a more centralized and accessible knowledge repository. This will enhance collaboration and ensure that all team members have access to the latest information and resources.
   - next-steps: Develop a strategy for curating and organizing knowledge sources within Dataverse. Implement a governance model to maintain the quality and relevance of the knowledge base.
   - roles: Knowledge Managers, IT Administrators, Training Coordinators
   - references: https://aka.ms/11898/3, https://aka.ms/11898/12

Increased User Adoption of AI Features
The automatic enabling of Dataverse search for all environments will facilitate the use of AI-driven features across various applications, promoting greater adoption of AI tools within the organization.
   - next-steps: Create an internal communication plan to inform users about the new AI features available through Dataverse search. Set up feedback mechanisms to gauge user experience and areas for improvement.
   - roles: Product Managers, Change Management Teams, IT Support Staff
   - references: https://aka.ms/11898/4, https://aka.ms/11898/5

Potentional Risks**

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IT Security**

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explanation for non-techies**

Imagine Dataverse as a vast library where all your company's data is stored. In this library, finding the right book or piece of information quickly is crucial. Previously, Dataverse used a search system similar to a basic library catalog, which allowed you to find books based on titles or authors. This was known as "RelevanceSearch."

Now, the search system is being upgraded to something akin to a librarian who not only knows where every book is but also understands the content of each book and can suggest the most relevant information based on your needs. This enhanced search capability is called "DataverseSearch," and it uses advanced AI to improve the quality of search results, making it easier for users to find the information they need.

This upgrade will automatically be applied to all environments using Dataverse, ensuring that users can benefit from these improved search capabilities without any additional setup. However, like adding more books to a library, this enhancement will increase the amount of storage space required. The storage used by this new search system will be reported in the same way as before, but under the new name, "DataverseSearch."

This change is particularly beneficial for those using AI-powered tools like Microsoft Copilot, which rely on accessing and processing data efficiently. By enabling DataverseSearch, users can take full advantage of these tools, leading to a more seamless and informed experience when interacting with data.

No immediate action is required from users, but it's good to be aware of these changes and the potential increase in storage usage. This upgrade aims to enhance productivity by making data searches more intuitive and effective, much like having a knowledgeable librarian at your disposal in a vast library.