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).
Agent Skill from aws/agent-toolkit-for-aws
Copilot Studio
Passes documented load rulesNo documented load rule failed.
Microsoft 365 Copilot Preview, Frontier tenants only
Passes documented load rulesNo documented load rule failed.
An agent can have at most 8 skills. Custom skills aren't available in tenants that use Microsoft Purview Information Barriers.
Standards signals
Meets the agentskills.io required fields.
| Frontmatter | Present and parsed Spec: frontmatter |
| name | Meets the spec (1-64 chars, a-z 0-9 hyphens) Spec: name |
| description | Present, 1-1,024 characters Spec: description |
| compatibility | Absent or under 500 characters Spec: compatibility |
| Name matches folder | Yes (storing-and-querying-vectors)Spec: name |
Observed from the public SKILL.md at the commit above on 2026-10-23. Not a certification: AAIF and the Agent Skills project don't certify skills. Validate your own skill with skills-ref validate.
| Source repo | aws/agent-toolkit-for-aws |
| Path | plugins/aws-data-analytics/skills/storing-and-querying-vectors/SKILL.md |
| Commit checked | 9ab50636d125 |
| Repo license | Apache-2.0 |
| Files | 3 |
| Scripts | None |
| Instructions | 7,061 characters |
| Deepest folder | 1 below the skill folder |
| Installs (skills.sh) | 6,484 |
| Rules version | 2026-10-22 |
Re-check the latest version How skill checks work
Rule-based checks of public files against Microsoft's documented load rules, not tested in Copilot Studio or Microsoft 365 Copilot. Independent project, not affiliated with Microsoft.