langchain.retrievers.svm.SVMRetriever¶
class langchain.retrievers.svm.SVMRetriever[source]¶
Bases: BaseRetriever
SVM retriever.
Largely based on
https://github.com/karpathy/randomfun/blob/master/knn_vs_svm.ipynb
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param embeddings: Embeddings [Required]¶
Embeddings model to use.
param index: Any = None¶
Index of embeddings.
param k: int = 4¶
Number of results to return.
param metadata: Optional[Dict[str, Any]] = None¶
Optional metadata associated with the retriever. Defaults to None
This metadata will be associated with each call to this retriever,
and passed as arguments to the handlers defined in callbacks.
You can use these to eg identify a specific instance of a retriever with its
use case.
param metadatas: Optional[List[dict]] = None¶
List of metadatas corresponding with each text.
param relevancy_threshold: Optional[float] = None¶
Threshold for relevancy.
param tags: Optional[List[str]] = None¶
Optional list of tags associated with the retriever. Defaults to None
These tags will be associated with each call to this retriever,
and passed as arguments to the handlers defined in callbacks.
You can use these to eg identify a specific instance of a retriever with its
use case.
param texts: List[str] [Required]¶
List of texts to index.