Vector Database Explained - What is Vector Database and How to Use It

Explore the world of Vector Databases in this informative 14-minute video. Learn how these databases store features as vectors and compare them to find similarities, making them essential for recommendation systems, image searches, and natural language processing. Understand the concept of Euclidean Distance for measuring feature similarity and its application in identifying similar items. Discover real-life applications and key advantages of Vector Databases, including scalability, flexibility, and performance. Follow along with a practical demo on installing a Vector Database using Bollywood movie plots on Replit, covering setup, creation, querying, and result analysis. Gain insights into fundamental AI concepts and explore opportunities for further learning in artificial intelligence and machine learning.

- Introduction
- What are Vector Databases?
- Why do we need Vector Databases?
- Use cases of Vector Databases
- Advantages of Vector Databases
- L2 Euclidean Distance
- Demo on Vector Database
- Conclusion