From Pixels to Patterns: The Vector Database Saga
Inthe fast-evolving landscape of Artificial Intelligence (AI) and Machine Learning (ML), a new piece of technology has been making waves: Vector Databases. If you’re wondering what this technology is and how it’s being used by engineers and developers, you’re in the right place. By reading this article, you’ll better understand what vector databases are, how they can be used, and why they are so prevalent now.
To answer this question, let’s first define what a database is. A database is a structured collection of data, organized in a way that a computer can quickly access, manage, and update its information.
There are several important database types:
Relational Databases (RDBMS): These databases use a structure based on tables to establish relationships between data points. Popular examples include MySQL, PostgreSQL, and Oracle Database.
NoSQL Databases: NoSQL databases are designed to handle unstructured or semi-structured data. They are flexible, scalable, and suitable for big data and real-time applications. Examples include MongoDB, Cassandra, and Redis.
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