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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. |