In the rapidly evolving fields of artificial intelligence (AI), machine learning (ML), and data engineering, the need for efficient data storage and retrieval systems is paramount. Vector databases have emerged as a critical solution for managing the complex, high-dimensional data that these technologies often rely on. Here, we explore seven vector databases that every AI/ML/data engineer should be familiar with, highlighting their unique features and how they support the demands of modern data-driven applications.

1. Milvus

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