Storing And Querying Vectors
aws/agent-toolkit-for-aws/skills/specialized-skills/storage-skills/storing-and-querying-vectorsby awsdf2ab44e485b28358353d827e5ebafbe267cce9fNo license2.8K starsListed Oct 9, 2026Updated Oct 9, 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).
- df2ab44e485b28358353d827e5ebafbe267cce9fCurrentcommit df2ab44Published Oct 9, 2026
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Source:aws/agent-toolkit-for-awsinskills/specialized-skills/storage-skills/storing-and-querying-vectorsat commitdf2ab44
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