The New Stack Makers

Why Developers Need Vector Search

Informações:

Synopsis

In this episode of The New Stack Makers podcast, the focus is on the challenges of handling unstructured data in today's data-rich world and the potential solutions offered by vector databases and vector searches. The use of relational databases is limited when dealing with text, images, and voice data, which makes it difficult to uncover meaningful relationships between different data points.Vector databases, which facilitate vector searches, have become increasingly popular for addressing this issue. They allow organizations to store, search, and index data that would be challenging to manage in traditional databases. Semantic search and Large Language Models have sparked interest in vector databases, providing developers with new possibilities.Beyond standard applications like information search and recommendation bots, vector searches have also proven useful in combating copyright infringement. Social media companies like Facebook have pioneered this approach by using vectors to check copyrighted media up