> For the complete documentation index, see [llms.txt](https://docs.getinfinity.app/user-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.getinfinity.app/user-guide/comprehensive-user-guide/1.-connecting-your-data/ai-powered-context-generation-wizard.md). # AI-Powered Context Generation Wizard This wizard assists in automating data definitions using AI-powered insights. It helps generate contextual metadata for your data sources, improving the accuracy and usability of AI-driven analytics. ### **Step 1: Navigate to the Table Selection Page** * After connecting your data source, navigate to the **Table Details** step. * You will see a list of tables with their **completion status**. * Tables marked **"uncompleted"** require data definitions. πŸ”Ή **Action**: Click on a table (e.g., **"manufacturer"**) to start defining its data.
*** ### **Step 2: Open the AI Wizard for Data Definitions** * After selecting a table, the **AI wizard** will launch. * The wizard automatically **suggests descriptions** based on table content. * Click **β€œTry it now!”** to use AI-generated suggestions.
*** ### **Step 3: Review and Edit Table Descriptions** * The wizard presents an **AI-generated description** of the table. * **Edit the description** to ensure accuracy and completeness. * The description should **clearly define** the table's purpose and key attributes. πŸ”Ή **Best Practice**: Include **key details** like relationships with other tables, data types, and business context.
*** ### **Step 4: Define Insights and Chart Expectations** * The wizard will prompt:\ **β€œWhat insights or charts would you like to generate from this table?”** * Select or describe expected charts, such as: * Number of manufacturers per country * List of manufacturers by name * Count of manufacturers πŸ”Ή **Action**: Choose relevant insights to improve AI-driven visualization recommendations.
*** ### **Step 5: Column-Level Data Definitions** * Next, define **each column** in the selected table. * The wizard provides **suggestions for column descriptions** (e.g., **Country, ManufacturerID, Name**). * Review and refine AI-generated descriptions to ensure clarity. πŸ”Ή **Example**: * **Column Name**: `Country` * **AI-Suggested Description**: "The country where the manufacturer is located. Code: US, MX." * **Action**: Edit if necessary to include more context.
*** ### **Step 6: Review Summary for Data Definitions** * The wizard compiles all table and column descriptions into a **summary view**. * Ensure all required details are correct and meaningful. πŸ”Ή **Action**: Add any missing details before proceeding.
*** ### **Step 7: Finalizing Data Definitions** * After reviewing, the wizard enhances the descriptions using **context gathered throughout the steps**. * The final descriptions are **more detailed and AI-optimized**. πŸ”Ή **Action**: Click **"Complete"** to save the definitions.
*** ### **Step 8: Confirm and Save Definitions** * Once saved, the platform uses these descriptions for:\ βœ” **AI-powered chart generation**\ βœ” **Query automation (SQL generation)**\ βœ” **Improved Q\&A about data and insights**\ βœ” **Delta monitoring and debugging** πŸ”Ή **Action**: Proceed to the next step in the data setup process.\