Storing And Querying Vectors
by aws0d6167ad2e6dNo license2.8K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
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).
- 0d6167ad2e6dCurrentcommit 0d6167aPublished Oct 8, 2026
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Source:aws/agent-toolkit-for-awsinplugins/aws-data-analytics/skills/storing-and-querying-vectorsat commit0d6167a
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