Selecting a vector store for Amazon Bedrock Knowledge Bases
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Choosing the right vector store for your Amazon Bedrock Knowledge Bases RAG application affects performance and cost. This post compares Amazon OpenSearch Service, Amazon Aurora PostgreSQL with pgvector, and Amazon S3 Vectors across three RAG use cases, with benchmarks and a practical selection framework.
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…
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