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
  1. Explain what a vector database stores and the search it performs
  2. Explain why similarity search needs a purpose-built index at scale
  3. Name the AWS services the exam lists for storing embeddings and match each to a fit
  4. Choose a vector store based on an existing data stack