ML System Design: Video Search System

Architecture for Efficient Video Search using Text Queries

Problem Navigation

Requirements

Business Objective: To design a video search system that recommends relevant videos based on user-provided text queries.

Real-world Examples:

• Search Engines: Platforms like Google, YouTube, and Bing use text-based video search to help users find videos related to their search queries.
• Social Media: Platforms like TikTok and Instagram allow users to search for videos using keywords or hashtags.
• Video Streaming Services: Platforms like Netflix and Amazon Prime Video use text search to recommend videos based on user queries and viewing history.
• E-commerce: Online retailers use video search to help customers find product demonstrations, reviews, and tutorials.
• Education Platforms: Platforms like Khan Academy and Coursera use text search to allow students to find educational videos on specific topics.

Scope (Features and Use Cases):

Features:

• Accurate text-based video retrieval: Retrieve videos that are semantically relevant to the user’s text query.
• Robust query…