Search Index

Specify the name of the search index that should be made available. This index must be configured and populated in advance. The AI Assistant will use this index to retrieve documents or data in response to user queries.

Enable this option to allow the AI Assistant to use semantic search, which retrieves results based on the meaning of the query rather than just keyword matches. Requires that 'Vector Search' is enabled on the Indexing Behavior associated with the selected search index.

Enable this option to allow the AI Assistant to use standard keyword-based search, similar to what users can perform from the Search Page. This is useful for precise lookups or when searching for specific field values.

Define one or more Subset Filters to expose logical partitions of the search index, such as by document type or field value. If no subsets are defined, the entire index will be in scope for search operations.

Specify an OData filter expression to restrict all search queries to a subset of documents. This can be used to enforce security, limit results to a specific status, or apply other business rules.

The 'Resource Name' is shown in the user interface and is used to reference this resource in configuration and during chat interactions. If an 'Alias' is provided, it will be used as the display name; otherwise, the default 'Name' is used.

Provide a clear and concise explanation of what this resource is for, what information or capabilities it provides, and how it should be used in relation to other available resources. This description is used by the AI Assistant to determine when and how to utilize the resource during a conversation.

If two resources would otherwise have the same 'Resource Name', you can specify an 'Alias' to ensure each resource can be uniquely identified. The alias will be used as the display name in the user interface and in chat interactions.