AI and ML integration

Use Lakebase as a backend for AI agents and machine learning workloads.

Integration	Description
Agent state and memory	Persist agent state and memory in Lakebase so AI agents built with LangGraph or the OpenAI Agents SDK retain context across sessions.
Feature Store and Model Serving	Serve ML features at low latency from Lakebase for models deployed with Databricks Model Serving.
Lakebase Search	Add hybrid vector and keyword search to your project using the lakebase_vector and lakebase_text extensions.

Next steps

• Lakehouse integration
• Connect to your database
• Query your data