The October 2026 release of CLAIRE GPT includes the following new features and enhancements.
Discover and explore Salesforce Data 360 assets
You can now discover and explore Salesforce Data 360 assets in CLAIRE GPT alongside your other data assets. The supported asset types include Data Model Objects, Data Lake Objects, Calculated Insights, Identity Resolution, and Data Streams.
Use the discovery agent and the data quality agent to perform the following tasks:
•Find Salesforce Data 360 assets alongside your other data assets.
•Explore the metadata and lineage of an asset, including its data elements, data profile, related assets, and the upstream and downstream assets in the data flow.
•Ask questions about the data in Salesforce Data 360 assets.
•Assess the data quality of Salesforce Data 360 assets.
You can now create and manage context maps in CLAIRE GPT. A context map defines a set of data connections for your conversation so that CLAIRE GPT searches and suggests only relevant data. You can add connections to a map, switch between maps, edit an existing map, and reindex a map to capture the latest metadata.
For more information, see Manage context maps in Using CLAIRE GPT.
For more information, see see Manage context maps in Using CLAIRE GPT.
Open search results in Data Governance and Catalog
You can now open search results in Data Governance and Catalog from your CLAIRE GPT conversation to transition seamlessly from your conversation to the full catalog view. CLAIRE GPT conversations display 25 ranked assets from your search results. For broader discovery prompts, such as listing all columns in a large table, the list of matching assets often exceeds what a conversation can show. To view the complete list of assets in your search results without losing context, click Open in Data Governance and Catalog.
CLAIRE GPT doesn't generate search queries for lineage or aggregation-related prompts.
Prompt CLAIRE GPT in Japanese
You can interact with CLAIRE GPT in Japanese when you work with the data quality, discovery, and product help agents.
The product help agent uses machine translation for its Japanese responses. This lets it respond in Japanese for any product help topic.