Store embeddings for low-cost similarity search.
What it does
Creates searchable embedding collections in Amazon S3 Vectors and retrieves similar vectors.
When to use it
Use for cost-effective, long-term vector storage, infrequent similarity queries, and RAG, rather than sustained high-throughput search.
How to use it
Give it a vector-storage or search request; it confirms setup choices with you and creates or queries AWS vector indexes.
Uses
AS
AB
Good to know
- cannot be undone: Amazon S3 Vectors
Latest review
What you need · 1
Requires AWS access authorized for S3 Vectors operations through the s3vectors IAM namespace.
Access · 4
This skill
Amazon S3 Vectors
Write
Stores or deletes cloud vectors (irreversible)
Bedrock
Write
Sends text to Bedrock
AWS docs
Read
Looks up current AWS guidance