> For the complete documentation index, see [llms.txt](https://docs.zenlytic.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zenlytic.com/intro.md). # Overview Browse the key docs paths for setup, modeling, analysis, administration, and advanced workflows. ### Meet your new Senior Data Analyst - Zoë Zenlytic is a powerful business intelligence platform leveraging LLM technology to enable self-serve analytics via a conversational data interface. Its robust cognitive layer allows data teams to model company metrics, such as revenue or conversion, ensuring consistent data usage across the organization.
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Getting StartedConnect, import, first questionGetting Startedzenlytic-z-tile-1.png
Tips & TricksHelp first steps and tricksTips & Trickszenlytic-z-tile-2.png
Using ZenlyticChat, Clarity Engine, Artifacts, SkillsUse Zoë, the Clarity Engine, skills, artifacts, and app integrations.Using Zenlyticzenlytic-z-tile-3.png
AdministrationUsers, roles, groups, workspacesManage roles, user attributes, workspace groups, and workspace settings.Administrationzenlytic-z-tile-4.png
Data ModelingSemantic layer referenceDefine models, views, fields, relationships, filters, formatting, and access grants.Data Modelingzenlytic-z-tile-5.png
Proactive AgentsScheduled agentsBuild reusable multi-step conversations with inputs, schedules, publishing, and run history.Proactive Agentszenlytic-z-tile-6.png
Data SourcesWarehouse connectionsSet up warehouse connections for BigQuery, Snowflake, Redshift, Databricks, and more.Data Sourceszenlytic-z-tile-7.png
MCPIntegrationsConfigure SSO, IP allowlists, deploy keys, workload identity, and login troubleshooting.MCPzenlytic-z-tile-8.png
Authentication & SecuritySSO, IP, deploy keysAuthentication & Securityzenlytic-z-tile-9.png
## Popular entry points * [Start Here](/getting-started/start_here.md) — the fastest path from blank workspace to first answer. * [Fixing Zoë's Mistakes](/getting-started/fixing-zoes-mistakes.md) — diagnose errors and add the smallest useful context. * [Embedding Overview](/embedding/embedding_overview.md) — ship Zenlytic inside your own product. * [Data Modeling Overview](/data-modeling/data_modeling.md) — learn the model structure behind accurate answers. As always, feel free to reach out to your Zenlytic contact or [email Zenlytic Support](mailto:support@zenlytic.com) if you have questions that aren't answered in the documentation. --- # 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://docs.zenlytic.com/intro.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.