indexers.dataclasses.VectorStoreEmbedOutput
indexers.dataclasses.VectorStoreEmbedOutput(data)DataFrame-like object for storing and validating embedded vectors and associated metadata.
This class represents the output of embedding operations, containing the original text data along with their computed vector embeddings.
Attributes
| Name | Type | Description |
|---|---|---|
| id | pd.Series | Unique identifier for each embedded item. |
| text | pd.Series | The original text that was embedded. |
| embedding | pd.Series | The computed vector embedding (numpy array). |
Methods
| Name | Description |
|---|---|
| from_data | Create a validated VectorStoreEmbedOutput from a dictionary or DataFrame. |
| validate | Validate an existing instance against the schema and return a VectorStoreEmbedOutput. |
from_data
indexers.dataclasses.VectorStoreEmbedOutput.from_data(data)Create a validated VectorStoreEmbedOutput from a dictionary or DataFrame.
validate
indexers.dataclasses.VectorStoreEmbedOutput.validate(df)Validate an existing instance against the schema and return a VectorStoreEmbedOutput.