Databricks Tutorials

Disclaimer:

The content provided here is for reference and educational purposes only. It is not officially supported by Databricks under any Service Level Agreements (SLAs). All materials are provided AS IS, without any guarantees or warranties, and are not intended for production use without proper review and testing.

Pro-Tip:

Install relevant Databricks Agent Skills from databricks-solutions/ai-dev-kit to help with building on Databricks.!

Agents

• Multi-Agent with Agent Bricks
• Multi-Agent System with LangGraph
• Multi-Agent Genie with LangGraph
• Multi-Agent Genie with OpenAI Response API
• Multi-Agent Knowledge Assistant with OpenAI Response API
• Tool-Calling Agent with Databricks Managed MCPs
• Agent Deployment with Databricks Asset Bundles
• Retrieval Agent Deployment with DABs and ai_parse_document
• Text2SQL Agent with Databricks UC Managed MCP
• Text2SQL Agent with LangChain
• Async Agentic Task with Lakeflow Jobs

AI/BI

• (WIP) Genie Query Caching (Lakebase + pgvector, Vector Search, Hybrid)
• Genie Space Optimization with Benchmark API
• Genie for Banking Analytics (Demo)
• Genie Space Migration with DABs

Batch Inference

• CPU Model Serving Endpoint Batch Inference
• Provisioned Throughput Endpoint Batch Inference with ai_query
• Entity Resolution with vector_search and ai_query
• PDF Parsing, Classification, Extraction with ai_parse_document and ai_query

Context Engineering

• Claude Financial Analyst with Databricks DBSQL Managed MCP
• Improve Genie Space Configuration

Evals

• Evaluate Entity Extraction Use Case with MLflow 3

Feature Store

• (WIP) Real-Time Fruad Detection

Fine-Tuning

• Structured Extraction with LLM
• Prompt Optimization with GEPA on MLflow 3

Model Serving

• Serving the FLUX1-Dev on a Custom Multi-GPU Endpoint
• Serving a Custom GLM on a Custom CPU Endpoint

Vector Search

• Multi-Index Vector Search