Why are vector databases so FAST?

YouTube Excerpt: Vector databases are fascinating, and I'm surprised more people aren't talking about what makes them so fast. You can use a vector database to store arrays of floating-point numbers. You can then search the database using a similarity function to return any vector that's similar to another one. This video will show you how these databases work behind the scenes and how you can use serverless Pinecone in a few lines of code. • Link to the code: https://github.com/svpino/llm/blob/main/vector-databases/vector-databases.ipynb • Pinecone: https://pinecone.io/ I teach a live, interactive program that'll help you build production-ready Machine Learning systems from the ground up. Check it out here: https://www.ml.school To keep up with my content: • Twitter/X: https://www.twitter.com/svpino • LinkedIn: https://www.linkedin.com/in/svpino 🔔 Subscribe for more stories: https://www.youtube.com/@underfitted?sub_confirmation=1

Vector databases are fascinating, and I'm surprised more people aren't talking about what makes them so fast. You can use a vector database to...

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