indexers.dataclasses.VectorStoreReverseSearchOutput
indexers.dataclasses.VectorStoreReverseSearchOutput(data)DataFrame-like object for storing reverse search results.
This class represents the output of vector store reverse search operations, containing knowledgebase examples with the same label as in the query.
Attributes
| Name | Type | Description |
|---|---|---|
| id | pd.Series | Identifier for the input label for lookup in the knowledgebase. |
| searched_doc_label | pd.Series | Identifier for the knowledgebase label being looked up. |
| doc_label | pd.Series | Identifier for the retrieved document with the same label. |
| doc_text | pd.Series | The text content of the retrieved example. |
Methods
| Name | Description |
|---|---|
| from_data | Create a validated VectorStoreReverseSearchOutput from a dictionary or DataFrame. |
| validate | Validate an existing instance against the schema and return a VectorStoreReverseSearchOutputs. |
from_data
indexers.dataclasses.VectorStoreReverseSearchOutput.from_data(data)Create a validated VectorStoreReverseSearchOutput from a dictionary or DataFrame.
validate
indexers.dataclasses.VectorStoreReverseSearchOutput.validate(df)Validate an existing instance against the schema and return a VectorStoreReverseSearchOutputs.