Discover the Key Databases Powering AI & Chatbots 🤖

Which Database Fuels AI? | Diving Deep into Vector Databases

In this video, I'll explore how SQL and NoSQL databases, although pivotal in textual data storage, might not be fully equipped for certain AI tasks. We introduce you to the game-changer: vector databases.

Ever wondered how AI can sift through audio or video files when standard databases can't? Or how does a search query in an AI system bring up similar items instead of exact matches? The answer lies in vector databases and the concept of embeddings.

Embeddings can be thought of as numeric representations of various data forms, be it words, images, audio, or even video. And once these embeddings are stored in vector databases, the magic happens. From searching to clustering and even recommendations, the capabilities are endless.

For all the tech enthusiasts and developers out there, the great news is that there are numerous open-source databases tailored to meet the unique requirements of machine learning. So, if you're considering integrating AI into your project, you now know where to begin.

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