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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.
- 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 Deployement with Databricks Asset Bundles
- Text2SQL Agent with Databricks UC Managed MCP
- Text2SQL Agent with LangChain
- Async Agentic Task with Lakeflow Jobs
- CPU Model Serving Endpoint Batch Inference
- Provisioned Throughput Endpoint Batch Inference with
ai_query - Entity Resolution with
vector_searchandai_query
- Claude Financial Analyst with Databricks DBSQL Managed MCP
- (WIP) Claude with Databricks Skills
- Evaluate Entity Extraction Use Case with MLflow 3
- Structured Extraction with LLM
- Prompt Optimization with GEPA on MLflow 3
- Genie Space Migration with DABs
- Serving the FLUX1-Dev on a Custom Multi-GPU Endpoint
- Serving a Custom GLM on a Custom CPU Endpoint
- Multi-Index Vector Search