Vector Database for Beginers

This course provides a comprehensive overview of vector databases, covering key concepts, practical applications, and hands-on projects. Starting with an introduction to vectors and why vector databases are essential, students explore the advantages of using vector databases over traditional databases. Through case studies, students learn about vector creation, representation, and indexing. The course dives into applications, with a focus on embedding models and deploying vector databases on cloud platforms. In live demos, participants work with popular vector databases like Chroma, Weaviate, and Quadrant. Finally, students build a PDF-based chatbot using Streamlit, culminating in a capstone project for practical application.