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Integrate S3 Vector Store into your AI workflows

Amazon S3 Vector Store uses AWS S3 as a persistent storage backend for vector embeddings, enabling scalable and durable similarity search.

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Triggers & Actions

Delete Documents

Delete documents from the vector store by metadata

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Load Documents

Loads documents into the vector store using LLM embeddings.

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Search Documents

Query documents from the vector store using LLM embeddings.

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Update Documents

Updates documents in the vector store by deleting existing ones matching the metadata filter and loading new ones using LLM embeddings.

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Templates using S3 Vector Store

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