it seems Databricks is moving from traditional RAG pipelines toward agent-native architectures with Lakebase Search, Genie Agents, MCP integration, and semantic business context.

For teams building enterprise GenAI applications today:

• Are you still building custom RAG pipelines using Vector Search + LangGraph?
• Or are you planning to adopt the new Databricks agent ecosystem?
• Which components would you still build yourself, and which would you rely on Databricks to manage?

Curious to hear how enterprise architects are thinking about this shift.