Type: vector.IndexEmbedding

Namespace: vector

Description

Index a single embedding vector into a collection with optional metadata. Creates a searchable entry that can be queried for similarity matching. vector, index, embedding, storage, RAG

Properties

Property Type Description Default
collection collection The collection to index {"type":"collection","name":""}
embedding list The embedding to index {"type":"list","value":null,"dtype":"<i8","shap...
index_id union[str, list[str]] The ID to associate with the embedding ``
metadata union[dict, list[dict]] The metadata to associate with the embedding {}

Outputs

(none)

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