About Indexing a Dataset for Oracle Analytics AI Assistant

You must index a dataset so that its data is included in Oracle Analytics AI Assistant.

Note:

The AI Assistant is available in all regions in the OC1 realm. For more information, see About Regions and Availability Domains.

If you don't see the Assistant option, you might not have the required permissions. Contact your administrator to request the Use Assistant in Workbooks permission. See Grant or Revoke Permissions for Application Roles.

You can index any dataset that you have Full Control or Read-Write access to. When you index dataset, you specify if you want to index all or some of a dataset's attributes by names, or by names and values, and which language to index the dataset in. You also select whether the indexed data is available for the home page search, within workbooks, or both.

Note:

A file-based dataset must be indexed before you or users you shared the dataset with can use it to build visualizations from a home page. See Generate Visualizations from Your Home Page and Certify a Dataset.

File-based dataset indexes are refreshed when you manually reload the data, or on a schedule you determine. See Index a Dataset on Demand.

By default, the dataset is indexed whenever its data is refreshed so that the most current data is available when you search from your home page. Your data is automatically refreshed any time a user saves changes to the dataset. Alternatively, you can add a schedule to indicate when and how often a dataset is indexed, or you can index a dataset on demand.

You use the Search tab on the Inspect page of your dataset to enable indexing based on files or data sources. Administrators can use the Data Model pane on the Console's Search Index page to control which subject areas are indexed. See Configure Search Indexing.

Assistant requests are always processed within a secure OCI environment. However, your Assistant request may be routed to another OCI region for processing.

Oracle Analytics leverages foundation models deployed through Oracle Cloud Infrastructure's Generative AI Service. These models are used in their native state without fine-tuning or model customization. We do not use your data to train our models and achieve our results through careful prompt engineering.

Note:

The Oracle Analytics AI Assistant uses a Large Language Model (LLM) when processing your questions. As a result, it may generate responses based on patterns in data rather than factual accuracy. Always verify the results and consult your primary data sources before making critical decisions based on results generated by the Assistant. Oracle recommends you avoid providing any personally identifying information as part of your natural language prompts, as the text is sent exactly as written to the LLM.