> ## Documentation Index > Fetch the complete documentation index at: https://docs.vizkraft.com/llms.txt > Use this file to discover all available pages before exploring further. # Talk to your data > Learn how Vizkraft helps your team connect data, ask questions, create charts, and build dashboards. Vizkraft helps your team explore data in plain language, turn answers into charts, and assemble dashboards in minutes. You can connect managed databases, HubSpot CRM, or custom MCP servers, ask questions across one or more connectors, save charts, apply filters, teach Vizkraft with connector memory, and keep AI-suggested content that is generated after your data is indexed. ## What you can do in Vizkraft * Add connectors for PostgreSQL, MySQL, ClickHouse, MongoDB, HubSpot CRM, and custom MCP servers. * Index SQL and MongoDB sources, or sync HubSpot CRM catalogs. * Ask questions in chat and keep the conversation going with follow-up prompts. * Rate answers with thumbs up or thumbs down to improve accuracy over time. * Build connector memory that persists across your organization. * Run evaluation to measure and improve answer quality for SQL connectors. * Create charts from answers, save them, refine them manually or with AI edit. * Build dashboards with manual filters, AI filters, smart filters, saved views, and exports. * Review suggested charts and dashboards that Vizkraft prepares after a connector is analyzed. * Work from the web app and, if enabled for your workspace, from Slack. ## Your main workspace areas | Area | What it is for | | ----------- | --------------------------------------------------------------------- | | Chat | Ask questions, review answers, rate responses, and generate charts. | | Connectors | Add sources, run indexing or CRM sync, open memory and evaluation. | | Charts | Browse saved charts and review suggested charts. | | Dashboards | Create dashboards, add saved charts, and manage suggested dashboards. | | Preferences | Update theme, language, and Slack settings. | Connector-specific **Memory** and **Evaluation** pages open from the **⋯** menu on each connector row. ## See the main workspace This view shows the main app shell, including the left navigation and the suggested question state many users see when starting a new chat. Vizkraft workspace with the sidebar and suggested questions visible ## Typical workflow 1. Add a connector in the `Connectors` area. 2. Run indexing or HubSpot catalog sync so Vizkraft understands your data. 3. Open `Chat` and pick the connector or connectors you want to use. 4. Ask a question, then use follow-up suggestions or type the next question yourself. 5. Rate helpful answers and review any memory updates Vizkraft saves. 6. Save useful charts to your library. 7. Add charts to dashboards, apply filters (including AI filters), and save views for recurring use. 8. Review suggested charts and dashboards when Vizkraft prepares them for you. 9. Optionally run evaluation on SQL connectors to measure and improve accuracy. ## What to expect on day one * If you open chat before asking anything, Vizkraft can show sample suggested questions in the empty state. * After an answer is generated, follow-up suggestions can appear above the message input so you can continue the same thread. * Memory notifications can appear when Vizkraft learns something about your connector. * Suggested charts and dashboards appear in their respective library pages after a connector has been analyzed. ## Next steps * Start with [Get started](/getting-started/overview) for a quick tour of the product. * Go to [Add connectors](/guides/add-connectors) when you are ready to connect data. * Read [Connector memory](/features/connector-memory) to understand how Vizkraft learns over time. * Read [Ask questions](/features/ask-questions) to learn the core chat workflow.