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Aliyun OSS Vector Store

Store and retrieve vectors using Alibaba Cloud OSS Vector Bucket

Actions7

Retrieve (as Vector Store)

AI-generated

Summary

Retrieve an Aliyun OSS vector store instance configured with a specified vector index, embedding model, and optional metadata filter and result limit, supplying it as output for use in subsequent vector retrieval or search operations within an n8n workflow.

Inputs

  • Index Name (required) — OSS vector index name in your bucket to connect to.
  • Limit — Maximum number of results to return from similarity search (default 4).
  • Metadata Filter — Optional MongoDB-style JSON filter to restrict vectors returned by similarity search.

Output shape

a single AI vector store object output

The node outputs an AiVectorStore compatible object configured with the embeddings model and OSS vector index specified. This output can be used by other nodes such as the Vector Store Retriever node for document retrieval. In this operation, the node itself does not perform the retrieval but supplies the vector store to be used downstream. No direct execution or search is performed in this operation.

Examples

Example 1: Use the Aliyun OSS Vector Store node to supply a vector store pointing to your specified index for downstream retrieval.

Set Operation to 'Retrieve (as Vector Store)', provide the 'Index Name', connect an AI Embeddings node for vectorization, and optionally set 'Limit' and 'Metadata Filter' to control result sizes and filtering. The node's output is then an AiVectorStore instance for retrieving similar documents.

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