Technology Radar
As agent-based approaches become more mainstream, we’re seeing data platforms evolve to support these workloads natively rather than as a bolt-on. Databricks Agent Bricks provides prebuilt, auto-optimizing components for common AI patterns such as knowledge assistants and data analysts. It follows a declarative approach: developers define the goal and underlying data, while the framework handles the execution and optimization. By simplifying LLMOps and reducing the effort required for data curation, teams can focus more on business outcomes than on boilerplate. For example, our teams have used it alongside custom agents to evaluate and build complex RAG solutions for preclinical R&D. If you’re already invested in the Databricks ecosystem and exploring agent-based approaches for common use cases such as chatbots and document extraction, consider assessing Agent Bricks.
