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.

Intro
GIF Search Demo
Pipeline Overview
Data Preparation
Vector Database and Retriever
Querying
Streamlit App Code