Data Science & Analytics
Storing And Querying Vectors
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
- Publisher / source
- aws/agent-toolkit-for-aws (found on skills.sh)
- Upstream record
- aws/agent-toolkit-for-aws
- Version
- Version 4
- Published
- Publication review
- Approved for publication
- Content fingerprint
c7b2d0947ba042d51cf2b4d12efa40c20cd4ed84215b0f5d183daec33440e4c4