indexers.dataclasses.VectorStoreEmbedInput

indexers.dataclasses.VectorStoreEmbedInput(data)

DataFrame-like object for forming and validating text data to be embedded.

This class validates and represents input texts that will be converted to vector embeddings by the vector store.

Attributes

Name	Type	Description
id	pd.Series	Unique identifier for each text item.
text	pd.Series	The text content to be embedded.

Methods

Name	Description
from_data	Create a validated VectorStoreEmbedInput from a dictionary or DataFrame.
validate	Validate an existing instance against the schema and return a VectorStoreEmbedInput.

from_data

indexers.dataclasses.VectorStoreEmbedInput.from_data(data)

Create a validated VectorStoreEmbedInput from a dictionary or DataFrame.

validate

indexers.dataclasses.VectorStoreEmbedInput.validate(df)

Validate an existing instance against the schema and return a VectorStoreEmbedInput.