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Selecting a vector store for Amazon Bedrock Knowledge Bases
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 pgvect
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.
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- Reduce RAG costs on Amazon Bedrock with query-aware compression
- Optimizing cost and latency with Amazon Bedrock prompt caching
- Introducing granular cost attribution for Amazon Bedrock
Source: AWS ML Blog | 2026-09-17