Using Semantic Search to Find GIFs

Learn how to build a GIF search engine using semantic search in this 18-minute tutorial. Explore the power of vector search applied to language as you create a system that finds highly relevant GIFs using natural language prompts. Follow along with a step-by-step pipeline, covering data preparation, vector database setup, retriever implementation, querying techniques, and the creation of a Streamlit app. Gain insights into the technology behind popular services like Google, Spotify, and Amazon, and discover how to adapt this powerful approach to various search tasks.