Build agentic applications
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Wire up a Databricks App with Lakebase for persistent data storage. Includes schema setup and full CRUD API routes.

Wire up a Databricks App with Lakebase for persistent data storage. Includes schema setup and full CRUD API routes.

Build a minimal Databricks App with AI/BI Genie conversational analytics. Covers Genie space configuration, plugin wiring, and deploy.

Build a minimal Databricks App with AI/BI Genie conversational analytics. Covers Genie space configuration, plugin wiring, and deploy.

Use Lakebase from apps hosted outside Databricks App Platform (for example on AWS, Vercel, or Netlify) with portable env, token, and Drizzle patterns.

Use Lakebase from apps hosted outside Databricks App Platform (for example on AWS, Vercel, or Netlify) with portable env, token, and Drizzle patterns.

End-to-end setup for analyzing operational database data in the lakehouse: Unity Catalog with external storage, Lakebase provisioning, Lakebase Change Data Feed (CDF) replication, and a medallion architecture pipeline with silver and gold layers.

End-to-end setup for analyzing operational database data in the lakehouse: Unity Catalog with external storage, Lakebase provisioning, Lakebase Change Data Feed (CDF) replication, and a medallion architecture pipeline with silver and gold layers.

Install the Databricks CLI, authenticate a profile, and verify the handshake. The strict prerequisite for every other DevHub recipe and template.

Install the Databricks CLI, authenticate a profile, and verify the handshake. The strict prerequisite for every other DevHub recipe and template.

Scaffold a fresh AppKit Databricks App with `databricks apps init`, run it locally, and deploy to your workspace.

Scaffold a fresh AppKit Databricks App with `databricks apps init`, run it locally, and deploy to your workspace.

Install Databricks agent skills (project-scoped), wire up the DevHub Docs MCP server, and bootstrap an AGENTS.md so your coding assistant knows this repo's workspace defaults.

Install Databricks agent skills (project-scoped), wire up the DevHub Docs MCP server, and bootstrap an AGENTS.md so your coding assistant knows this repo's workspace defaults.

Provision a managed Lakebase Postgres project on Databricks and collect the connection values needed by downstream templates.

Provision a managed Lakebase Postgres project on Databricks and collect the connection values needed by downstream templates.

Add a managed Postgres database to your Databricks app using the Lakebase plugin. Covers schema setup, table creation, and full CRUD REST API routes.

Add a managed Postgres database to your Databricks app using the Lakebase plugin. Covers schema setup, table creation, and full CRUD REST API routes.

Enable vector similarity search in Lakebase using the pgvector extension. Covers extension setup, vector table design, insert and cosine retrieval helpers, and IVFFlat/HNSW index options.

Enable vector similarity search in Lakebase using the pgvector extension. Covers extension setup, vector table design, insert and cosine retrieval helpers, and IVFFlat/HNSW index options.

Query AI Gateway endpoints for production-ready access to foundation models with built-in governance.

Query AI Gateway endpoints for production-ready access to foundation models with built-in governance.

Generate text embeddings from a Databricks AI Gateway endpoint using the Databricks SDK.

Generate text embeddings from a Databricks AI Gateway endpoint using the Databricks SDK.

Create and validate a Databricks Model Serving endpoint for AI chat inference in Databricks Apps.

Create and validate a Databricks Model Serving endpoint for AI chat inference in Databricks Apps.

Build a streaming AI chat experience using AI SDK and Databricks Model Serving endpoints.

Build a streaming AI chat experience using AI SDK and Databricks Model Serving endpoints.

Persist your AI agent's chat sessions and messages in Lakebase so users can resume conversations and your agent can reason over prior turns across deploys.

Persist your AI agent's chat sessions and messages in Lakebase so users can resume conversations and your agent can reason over prior turns across deploys.

Replicate Lakebase Autoscaling Postgres tables into Unity Catalog as managed Delta tables using Lakebase Change Data Feed (CDF), with full SCD Type 2 history.

Replicate Lakebase Autoscaling Postgres tables into Unity Catalog as managed Delta tables using Lakebase Change Data Feed (CDF), with full SCD Type 2 history.

Sync Unity Catalog tables into Lakebase Autoscaling Postgres as synced tables for sub-10ms application queries, with snapshot, triggered, or continuous modes.

Sync Unity Catalog tables into Lakebase Autoscaling Postgres as synced tables for sub-10ms application queries, with snapshot, triggered, or continuous modes.

Create a Unity Catalog catalog backed by an external S3 bucket with storage credentials, external location, and a schema ready for lakehouse tables.

Create a Unity Catalog catalog backed by an external S3 bucket with storage credentials, external location, and a schema ready for lakehouse tables.

Embed a Databricks AI/BI Genie chat interface so users can explore data through natural language. Configure a Genie space, wire up server and client plugins, declare app resources, and deploy.

Embed a Databricks AI/BI Genie chat interface so users can explore data through natural language. Configure a Genie space, wire up server and client plugins, declare app resources, and deploy.

Add a space selector so users can switch between multiple AI/BI Genie spaces from a single page. Covers multi-alias server config, per-space bundle resources, and automatic conversation cleanup on space switch and redeployment.

Add a space selector so users can switch between multiple AI/BI Genie spaces from a single page. Covers multi-alias server config, per-space bundle resources, and automatic conversation cleanup on space switch and redeployment.

Transform Lakebase Change Data Feed history tables into a medallion architecture with silver (current state) and gold (aggregations) layers using Lakeflow Declarative Pipelines.

Transform Lakebase Change Data Feed history tables into a medallion architecture with silver (current state) and gold (aggregations) layers using Lakeflow Declarative Pipelines.

Define and validate cross-platform environment variables for Lakebase-backed apps deployed outside Databricks App Platform.

Define and validate cross-platform environment variables for Lakebase-backed apps deployed outside Databricks App Platform.

Implement cached workspace and Lakebase credential token flows for secure Postgres access in off-platform deployments.

Implement cached workspace and Lakebase credential token flows for secure Postgres access in off-platform deployments.

Connect Drizzle ORM to Lakebase with pg password callbacks and migration-time temporary DATABASE_URL credentials.

Connect Drizzle ORM to Lakebase with pg password callbacks and migration-time temporary DATABASE_URL credentials.

Add file upload, browsing, download, delete, file type validation, and CSV row preview to your Databricks app using Unity Catalog Volumes.

Add file upload, browsing, download, delete, file type validation, and CSV row preview to your Databricks app using Unity Catalog Volumes.

Vacation rental ops dashboard with revenue analytics from a SQL Warehouse, a booking queue with Lakebase-backed flags and agent notes, and an embedded Genie chat panel.

Vacation rental ops dashboard with revenue analytics from a SQL Warehouse, a booking queue with Lakebase-backed flags and agent notes, and an embedded Genie chat panel.

Internal tool for tracking team SaaS subscriptions, owners, costs, and renewals with Lakebase persistence and Genie spend analytics.

Internal tool for tracking team SaaS subscriptions, owners, costs, and renewals with Lakebase persistence and Genie spend analytics.

Internal content moderation tool with per-channel guidelines, AI-powered compliance scoring via Model Serving, and a moderator review workflow backed by Lakebase and Genie analytics.

Internal content moderation tool with per-channel guidelines, AI-powered compliance scoring via Model Serving, and a moderator review workflow backed by Lakebase and Genie analytics.

Retail inventory management with AI-powered demand forecasting, replenishment recommendations, and optional Genie analytics. Built on a live medallion pipeline synced to Lakebase.

Retail inventory management with AI-powered demand forecasting, replenishment recommendations, and optional Genie analytics. Built on a live medallion pipeline synced to Lakebase.

Streaming Retrieval-Augmented Generation chat app with pgvector retrieval from Lakebase, Wikipedia seed corpus, Model Serving generation, and Lakebase-backed chat history. Consumed via `databricks apps init`.

Streaming Retrieval-Augmented Generation chat app with pgvector retrieval from Lakebase, Wikipedia seed corpus, Model Serving generation, and Lakebase-backed chat history. Consumed via `databricks apps init`.