AWS Adds Native Vector Search to DynamoDB, Eliminating Dual-Database Setup

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Amazon Web Services has introduced a SearchVectors API for DynamoDB, allowing developers to store and query vector embeddings directly within their existing database. The update removes the need for separate vector databases like Pinecone or Weaviate, collapsing a common two-database architecture into a single system. The feature supports embedding models from Bedrock, Cohere, and OpenAI, and requires configuring a vector index with dimensions and a distance function. Vector operations are billed separately per GB for writes, reads, and storage, so cost comparisons with existing setups are advised before migration. AWS recommends starting with a proof-of-concept on non-critical workloads before moving production retrieval-augmented generation pipelines to the new setup.

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