Why R&D Data Belongs in the Lakehouse - and Why Agents Need It There
Jul 21, 2026

Summary
This post argues for the necessity of R&D data residing in the Lakehouse to effectively power AI agents. It details how agents require access to this data for tasks like knowledge retrieval, reasoning, and decision-making, and how the Lakehouse provides the necessary infrastructure for managing and serving this data at scale. The post emphasizes the technical benefits of having R&D data in the Lakehouse for agent development and deployment, including improved data quality, accessibility, and integration capabilities.
More from the Lakebase trail
- Load terabytes of data in minutes into Lakebase Postgres
- How to build governed enterprise apps on Databricks with Replit and Lakebase
- Lakebase Postgres branch-based restores for fast recovery at scale
- A practical guide to cost optimization with Lakebase Postgres
- Lakebase Search: State-of-the-art full text and vector search for Postgres