The GenAI Configuration in Zoho Analytics allows you extend and refine how generative AI skills work across your workspace. These settings help you manage which AI skills are available, connect with supported language models, and define how your data is used to deliver relevant and intelligent responses.
You can enable specific skills that improve everyday tasks like transforming columns, building pipelines, writing formulas, building queries, creating dashboards, and generating code. You can also choose which language models to connect with and decide whether to share contextual metadata to improve AI accuracy.
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The GenAI Configuration panel is organized into clear sections to help you enable skills, authenticate language models, and manage access. Follow the below steps to configure each part:
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In this section, you can enable GenAI skills powered by open language models that are fine-tuned and securely run within Zoho’s environment.
This section lets you connect with OpenAI and enable skills that use OpenAI as the language model.
These skills help Ask Zia better interpret your prompts and assist with tasks across reporting, data preparation, and automation.
These skills improve the quality of insights you get from Zia by making them more accurate and data-driven.
Note
This skill uses aggregated data and selected actual data values from the involved tables to generate accurate recommendations. Personally identifiable information (PII) is not shared.
These skills help streamline data transformation and pipeline building using natural language.
Data preparation and Pipeline Creation
Use simple prompts to transform columns, apply formulas, and build pipelines more efficiently. Learn more
You can choose to improve the accuracy and relevance of GenAI responses by enabling this option.
When turned on, Zoho Analytics shares workspace metadata with OpenAI's embedding APIs, which generate vector representations (i.e., text converted into numerical format) of the metadata. These vectors are securely stored within Zoho Analytics. This processing occurs asynchronously in the background.
When you ask a question in Ask Zia, your input is also converted into vector representations, when needed, using the same process. A relevance search is then performed to fetch the most relevant metadata based on your input. This metadata is then included in the context provided to the language model, resulting in more accurate and context-aware responses.
This process follows Retrieval Augmented Generation (RAG).
This helps the language model understand your data structure more effectively, leading to improved suggestions and insights across supported skills.
To learn more about how embeddings work, see OpenAI’s guide on Vector embeddings.
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Account admins can control who is allowed to use GenAI skills within the organization. This setting determines whether organization admins or workspace admins can access and use the enabled skills in their respective workspaces.
Choose the appropriate option based on your organization’s policies, then click Apply to save your selection.
GenAI skills in Zoho Analytics follow a minimum-necessary model. Only the information required to answer a prompt is shared with the language model you have connected. The flow is transparent, auditable, and designed to protect sensitive data at every step.
Skills | What's shared | Purpose |
Formula or query suggestions |
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Generates context-aware formulas or SQL clauses. |
Report, dashboard, or slideshow creation |
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To select relevant fields and to choose best-fit visuals. |
Zia Insights skills |
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Identifies key drivers and produces narrative insights. |
Code suggestions |
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Builds or refines Python code for data prep or ML. |
Synonym suggestions |
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Offers alternate terms to improve natural-language search. |
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