AWS Compares Three Vector Stores for Bedrock RAG

Amazon Bedrock Knowledge Bases supports three customer-managed vector store backends for RAG solutions: Amazon OpenSearch Service, Amazon Aurora PostgreSQL with pgvector, and Amazon S3 Vectors. Each option offers distinct trade-offs in latency, cost, and search capabilities. OpenSearch excels at high-speed hybrid search for use cases like product catalog search, Aurora PostgreSQL suits relational data needs with flexible indexing, and S3 Vectors offers up to 90 percent cost savings for large-scale vector storage. Choosing the right backend depends on specific performance and cost requirements.