Module 5: Embeddings & Vector Databases

Understand how AI systems convert text into numerical representations called embeddings. Learn how embeddings enable semantic search, document similarity analysis, recommendation systems, and intelligent information retrieval. Students will work with vector databases and explore concepts such as vector indexing, similarity search, and knowledge retrieval. This module provides the foundation required for building advanced AI applications that can understand and retrieve contextually relevant information.