storing-and-querying-vectors
aws/agent-toolkit-for-awsStore and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers…
Scores out of 100 · grade A+
2026-08-22Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score100/100
- no commits in the last 12 weeks
Adopted
20% of the score58/100
- 4,108 installs on skills.sh.
- 2,404 stars on the source repo.
Documented
15% of the score90/100
- 919 words with worked examples.
- Ships 2 bundled files.
Install
npx skills add aws/agent-toolkit-for-aws/storing-and-querying-vectorsWhat it says it does
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).
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