Reference for Generative AI Agents

This section provides information about views within OCI Resource Analytics Generative AI Agents and their columns, data types, keys, and the referred view and column names. The following views are available:

The suffixes in the view names specify the view type:

• FACT_V: Fact
• DIM_V: Dimension

This section provides diagrams that define the logical relationship of a fact table with different dimension tables.

The contents of each view and their relationships are listed in the following file: Generative AI Agents views.

GENERATIVE_AI_AGENT_AGENT_ENDPOINT_FACT_V

GENERATIVE_AI_AGENT_DATA_INGESTION_JOB_FACT_V

Relationships exist among dimensions. Dimensions can be joined directly to each other.

GENERATIVE_AI_AGENT_TOOL_DIM_V

Sample queries for Generative AI Agents.

List the number of agents associated with each endpoint ID.

SELECT
    AGENT_ENDPOINT_ID,
    COUNT(AGENT_ID) AS AGENT_COUNT
FROM OCIRA.GENERATIVE_AI_AGENT_AGENT_ENDPOINT_FACT_V F
GROUP BY AGENT_ENDPOINT_ID;

List the number of data ingestion jobs associated with each data source.

SELECT
    DATA_SOURCE_ID,
	COUNT(DATA_INGESTION_JOB_ID)
FROM OCIRA.GENERATIVE_AI_AGENT_DATA_INGESTION_JOB_FACT_V F
GROUP BY DATA_SOURCE_ID;

The Customer Experience Semantic Model Lineage spreadsheet and Metric Calculation Logic spreadsheet for Generative AI Agents provides an end-to-end data lineage summary report for physical and logical relationships in your data.

For more information, see Data Lineage.

This section provides information on the subject areas with data you maintain in Generative AI Agents. These subject areas, with their corresponding data, are available for you to use when creating and editing analyses and reports. The information for each subject area includes:

• Description of the subject area.

• Business questions that can be answered by data in the subject area, with a link to more detailed information about each business question.

• Job-specific groups and duty roles that can be used to secure access to the subject area, with a link to more detailed information about each job role and duty role.

• Primary navigation to the work area that's represented by the subject area.

• Time reporting considerations in using the subject area, such as whether the subject area reports historical data or only the current data. Historical reporting refers to reporting on historical transactional data in a subject area. With a few exceptions, all dimensional data are current as of the primary transaction dates or system date.

• The lowest grain of transactional data in a subject area. The lowest transactional data grain decides how data are joined in a report.

• Special considerations, tips, and things to look out for in using the subject area to create analyses and reports.

This section provides other references related to Generative AI Agents.

Oracle Cloud Infrastructure Documentation / API Reference

• Generative AI Agents Documentation
• Agent Reference
• AgentEndpoint Reference
• DataIngestionJob Reference
• DataSource Reference
• KnowledgeBase Reference
• Tool Reference