Using Semantic Search to Find GIFs
Offered By: James Briggs via YouTube
Course Description
Overview
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.
Syllabus
Intro
GIF Search Demo
Pipeline Overview
Data Preparation
Vector Database and Retriever
Querying
Streamlit App Code
Taught by
James Briggs
Related Courses
U&P AI - Natural Language Processing (NLP) with PythonUdemy What's New in Cognitive Search and Cool Frameworks with PyTorch - Episode 5
Microsoft via YouTube Stress Testing Qdrant - Semantic Search with 90,000 Vectors - Lightning Fast Search Microservice
David Shapiro ~ AI via YouTube Semantic Search for AI - Testing Out Qdrant Neural Search
David Shapiro ~ AI via YouTube Spotify's Podcast Search Explained
James Briggs via YouTube