Introduction to Qdrant (Vector Database) Using Python

Learn the basics of Qdrant (Vector Database), Indexing the data, snapshots, Python Client with examples and more !

Created by: Vijay Anand Ramakrishnan
Instructor at Golden Clover Education

What Will I Learn?

• Basics of Vector databases
• Introduction to Qdrant and Installing Qdrant
• Collections, Segments and Points in Qdrant
• Vector and payload fields in a Collection
• Vector and Payload indexing
• Vector similarity search on a Collection and filtering the results based on payload
• Quantizing the vectors
• Configuring Qdrant Server

Requirements

• Python
• Fundamentals of Docker and Docker Compose
• Basic Linux commands

Target audience

• Data Scientists
• AI Engineers
• Machine Learning Engineers
• MLOps Engineers
• Data Scientists
• Anyone who is motivated to learn and work with a Vector database