Database Architecture
Bringing vector storage and ANN search into MariaDB removes the need to maintain a separate machine learning processing layer. Expressing vector search as a single SQL query reduces latency and architectural complexity. Vector queries that…
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Bringing vector storage and ANN search into MariaDB removes the need to maintain a separate machine learning processing layer. Expressing vector search as a single SQL query reduces latency and architectural complexity. Vector queries that previously required extraction, a Python service, external distance computation, and result return can be expressed as a single SQL query.