In this video we'll learn about vector databases: how they store objects as vectors and compare them to find matches. This is essential for recommendation systems, image search and NLP. Furthermore, we will understand how Euclidean distance measures exhibit similarity, making them perfect for identifying similar items. We will explore real-world applications and key benefits, including scalability, flexibility and performance. We also show you a demo of how to install a vector database using Bollywood movie plots on Replit. You will learn how to set up, create and query the database, and how to analyze the results.

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Topics covered:
00:00:00 – Introduction
00:00:56 – What are vector databases?
00:01:25 – Why do we need vector databases?
00:01:56 – Vector database usage scenarios
00:02:40 – Benefits of vector databases
00:04:40 – L2 Euclidean distance
00:06:59 – Demo on vector database
00:13:24 – Conclusion

#vector #database #vectordatabase

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