MariaDB Enterprise Platform 2026 adresses developing agentic AI

"MariaDB launches Enterprise Platform 2026. With built-in RAG pipelines and AI agents, MariaDB aims to help developers build agentic applications faster. With MariaDB Exa, the platform introduces an analytical engine for multi-terabyte workloads. The engine is designed to perform complex analyses on operational data at speeds that, according to MariaDB, are more than 1,000 times faster than traditional OLTP engines. MariaDB Exa is the result of a collaboration with Exasol."

"From vector search to complete AI integration MariaDB brought vector search to its platform earlier this year. With the new release, the company is going one step further by fully integrating RAG functionality into the database. Developers no longer need to set up separate vector databases or retrieval pipelines. The "RAG-in-a-Box" ensures that large language models are automatically provided with context from the MariaDB data. All steps for embedding, storing, and retrieving vector data are handled automatically."

MariaDB Enterprise Platform 2026 combines built-in RAG pipelines, preconfigured AI agents, and the MariaDB Exa analytical engine for multi-terabyte workloads. MariaDB Exa, created in collaboration with Exasol, enables complex analyses on operational data at speeds claimed to be over 1,000 times faster than traditional OLTP engines. The platform unifies transactional and analytics workloads to remove data-pipeline complexity and speed the move from raw transactional data to actionable outcomes. Integrated RAG automates embedding, storage, and retrieval of vector data, eliminating separate vector stores. Preconfigured copilots include a Text-to-SQL developer agent and a DBA copilot for management tasks.

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