AI SDK V5 Tutorial - 30 - Semantic Search

Github - https://github.com/gopinav/Next.js-AI-Tutorials Become a Fullstack Developer with Scrimba - https://scrimba.com/fullstack-path-c0fullstack?via=Codevolution Semantic Search In this lesson, discover how to build semantic search using Next.js and OpenAI's embedding models. We’ll start by creating a database of movie descriptions and use vector embeddings to find related movies based on their content, not just keywords. Explore techniques like cosine similarity for vector comparison, sorting by relevance, and filtering with thresholds. You'll also learn about the importance of vector databases for optimizing storage and search. Dive in and watch how to make your movie search smarter and more meaningful! 00:00 Introduction 00:30 Setting Up the Project 01:17 Embedding Movie Descriptions 02:32 Handling User Queries 03:06 Calculating Similarity Scores 05:00 Sorting and Filtering Results 05:53 Testing Follow me + Twitter - https://twitter.com/CodevolutionWeb Business - codevolution.business@gmail.com