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Description of  Introduction to Qdrant (Vector Database) Using Python

Published 3/2024 Created by Vijay Anand Ramakrishnan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 45m ) | Size: 787 MB What you'll 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 Description: Who this course is for: Data Scientists AI Engineers Machine Learning Engineers MLOps Engineers Data Scientists Anyone who is motivated to learn and work with a Vector database