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).
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- skills/storing-and-querying-vectors/SKILL.md
- skills/storing-and-querying-vectors/LICENSE
- skills/storing-and-querying-vectors/references/limits-and-patterns.md
- skills/storing-and-querying-vectors/references/metadata-filtering.md
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