Selecting a vector store for Amazon Bedrock Knowledge Bases

When building a Retrieval Augmented Generation (RAG) solution with Amazon Bedrock Knowledge Bases , selecting the right vector store impacts performance and cost. Amazon Bedrock Knowledge Bases offers a fully managed option and a customer-managed option where you choose your own vector store. This post focuses on the customer-managed path, comparing the three supported backends: Amazon OpenSearch Service , Amazon Aurora PostgreSQL with pgvector , and Amazon S3 Vectors , a capability of Amazon Simple Storage Service