AWS Certified AI Practitioner
Vector Databases on AWS
The store that makes retrieval possible: what a vector database does, why RAG needs one, and the AWS services the exam expects you to name for holding embeddings.
Intermediate 16 minutes 4 Learning Objectives
- Explain what a vector database stores and the search it performs
- Explain why similarity search needs a purpose-built index at scale
- Name the AWS services the exam lists for storing embeddings and match each to a fit
- Choose a vector store based on an existing data stack
