> For the complete documentation index, see [llms.txt](https://help.tellius.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.tellius.com/tellius-6.1/kaiya/kaiya-conversational-ai/working-with-kaiya.md). # Working with Kaiya ### Non auto-BV mode 1. Under **Settings → Advanced → Kaiya → Kaiya Conversation**, make sure the toggle **"Auto-select Business View"** is disabled for non auto-BV mode. 2. Choose the required Business View from the dropdown and start typing your query. Alternatively, you can choose from the initial set of queries provided below the search box. 3. Kaiya will work its magic. Depending on the input question, you will find the step-by-step process getting loaded. Most often, you can find these four steps: 1. Identifying the intent and relevant data 2. Enhancing context for deeper understanding 3. Interpreting with AI 4. Processing data to deliver analytical results 4. After the process gets completed, the results will be displayed. 5. The analysis of the resulting chart can be found in the **Search Inspector**. If you have multiple charts in a conversation, select the required chart to view the respective analysis. 6. Under **Business View**, you can find all the columns in the selected BV. ### Auto-BV mode If you're unsure which Business View (BV) to select, Kaiya can automatically identify and select the most relevant one for you. Simply start typing your query, and Kaiya will ensure the appropriate BV is applied. To enable the auto-Business View mode, 1. Under **Settings → Advanced → Kaiya → Kaiya Conversation**, enable the toggle **"Auto-select Business View".** 2. Navigate back to **Kaiya** tab and start typing your query without having to select the Business View first. 3. The following step will be displayed as one of the execution steps.

4. Kaiya will go through your query and auto-select the relevant Business View for you. 5. The results will be displayed. You can find **"Business View was auto-picked by Tellius Kaiya"** near the selected BV.

6. If the auto-selected BV is accurate, click on the thumbs-up button in the feedback section (below the chart). This helps Kaiya learn and remember the association, ensuring accurate results in the future. 7. If the auto-selected BV did not meet your expectations, then click on the thumbs-down button in the feedback section. From the following menu, select **"Fix it"** to rectify the selected BV.

8. From the dropdown, select the relevant Business View if needed. While Kaiya is designed to intelligently auto-select the most suitable BV, occasional adjustments may be required. Over time, Kaiya learns from your feedback to improve accuracy for future queries.

9. The analysis of the resulting chart can be found in the **Search Inspector**. If you have multiple charts in a conversation, select the required chart to view the respective analysis. 10. Under **Business View**, you can find all the columns in the selected BV. ### Ask Kaiya about your Business View Kaiya answers natural language questions about metadata—such as measures, dimensions, calculated columns, and date fields—so that you can quickly uncover key details about your Business View (BV) without technical expertise. Whether you're a business user trying to understand data relevance before diving into analysis or an analyst seeking granular technical details, Kaiya bridges the gap between technical metadata and business context. Metadata queries accelerate data discovery, empowers non-technical users, and reduces the back-and-forth between teams. You can ask questions about the structure and content of your dataset (BV) to: * Discover available columns (measures, dimensions, date fields, and calculated columns). * Understand calculated column formulas and their purpose. * Identify fields related to a specific concept or KPI. * Bridge the gap between technical metadata (e.g., field definitions) and business relevance. #### **What type of questions you can ask Kaiya about your Business View** Navigate to the Kaiya conversational search bar in the Tellius interface. Select or activate the Business View (BV) you want to explore. Use natural language to ask Kaiya questions about the metadata. **1. Different types of available columns** ***"What are the measures and dimensions available in this BV?"*** Kaiya provides a structured table listing the columns in the BV, categorized as measures and dimensions.

***"What date fields are available in this BV?"*** Kaiya displays a table listing all calculated columns along with their descriptions.

***"What are the calculated columns available in this BV?"*** Kaiya displays a table listing all calculated columns along with their descriptions and types (e.g., Measure or Dimension).

**2. Columns related to a specific concept or KPI** ***"Show me the columns related to sales in this BV".***

For Kaiya responses, check out [this](/tellius-6.1/kaiya/kaiya-conversational-ai/kaiya-responses.md) page. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://help.tellius.com/tellius-6.1/kaiya/kaiya-conversational-ai/working-with-kaiya.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.