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chore: update README with all available plugins
Signed-off-by: Pawel Kosiec <pawel.kosiec@databricks.com>
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README.md

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@@ -18,16 +18,11 @@ AppKit simplifies building data applications on Databricks by providing:
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AppKit's power comes from its plugin system. Each plugin adds a focused capability to your app with minimal configuration.
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### Available now
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- **Analytics Plugin** — Query your Lakehouse data directly from your app. Define SQL queries as files, execute them against Databricks SQL Warehouses, and get automatic caching, parameterization, and on-behalf-of user execution out of the box. Perfect for building apps that surface insights from your Lakehouse.
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- **Server Plugin** — HTTP server foundation with Express.js, static file serving, Vite dev mode with hot-reload, and remote tunnel support. Required for all AppKit applications.
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- **Analytics Plugin** — Query your Lakehouse data directly from your app. Define SQL queries as files, execute them against Databricks SQL Warehouses, and get automatic caching, parameterization, and on-behalf-of user execution out of the box.
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- **Genie Plugin** — Conversational AI interface powered by Databricks AI/BI Genie. Let users ask natural language questions against your data and get answers with automatic chart inference and visualization.
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### Coming soon
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- **Files Plugin** — Browse, upload, and manage files in Unity Catalog Volumes
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- **Lakebase Plugin** — OLTP database operations with automatic OAuth token management
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- ...and this is just the beginning.
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- **Files Plugin** — Browse, upload, and manage files in Unity Catalog Volumes. Supports multiple volumes, content type validation, and on-behalf-of user access.
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- **Lakebase Plugin** — OLTP database operations against Databricks Lakebase with automatic OAuth token management. Returns a standard `pg.Pool` compatible with Prisma, Drizzle, TypeORM, and other ORMs.
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> Missing a plugin? [Open an issue](https://github.com/databricks/appkit/issues/new) and tell us what you need — community input directly shapes the roadmap.
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