Type: vector.IndexAggregatedText

Namespace: vector

Description

Index multiple text chunks at once with aggregated embeddings from Ollama. vector, embedding, collection, RAG, index, text, chunk, batch, ollama

Properties

Property Type Description Default
collection collection The collection to index {"type":"collection","name":""}
document str The document to index ``
document_id str The document ID to associate with the text ``
metadata dict The metadata to associate with the text {}
text_chunks list[union[text_chunk, str]] List of text chunks to index []
aggregation enum The aggregation method to use for the embeddings. mean

Outputs

(none)

Browse other nodes in the vector namespace.