This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
Overview
Syllabus
- Vector Search and Embeddings
- Why use vector search
- Generate embeddings
- Create vector search
- Vector search in action
- Vector search with RAG
- Getting Started with Vector Search and Embeddings
- Quiz
- Reading List
- Your Next Steps
- Course Badge
