Data Intermediate Premium
Vector Databases and Semantic Search
Understand embeddings, vector storage, and semantic search to build AI-powered search and recommendation systems.
Vector databases are the foundation of modern AI search. This course covers how embeddings work, how to choose and configure a vector database, indexing strategies, query optimization, and how to integrate semantic search into real applications.
Lessons (6)
Choosing a Vector Database
20 min
Indexing Strategies
25 min
Building a Semantic Search System
35 min
Hybrid Search: Combining Keyword and Semantic
25 min
Performance and Scaling
25 min
