langchain.retrievers.merger_retriever.MergerRetriever¶

class langchain.retrievers.merger_retriever.MergerRetriever(*, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, retrievers: List[BaseRetriever])[source]¶

Bases: BaseRetriever

Retriever that merges the results of multiple retrievers.

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 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 retrievers: List[langchain.schema.retriever.BaseRetriever] [Required]¶

A list of retrievers to merge.

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.

async aget_relevant_documents(query: str, *, callbacks: Callbacks = None, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs: Any) List[Document]¶

Asynchronously get documents relevant to a query. :param query: string to find relevant documents for :param callbacks: Callback manager or list of callbacks :param tags: 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.

Parameters

metadata – 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.

Returns

List of relevant documents

async ainvoke(input: str, config: Optional[RunnableConfig] = None) List[Document]¶
async amerge_documents(query: str, run_manager: AsyncCallbackManagerForRetrieverRun) List[Document][source]¶

Asynchronously merge the results of the retrievers.

Parameters

query – The query to search for.

Returns

A list of merged documents.

get_relevant_documents(query: str, *, callbacks: Callbacks = None, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs: Any) List[Document]¶

Retrieve documents relevant to a query. :param query: string to find relevant documents for :param callbacks: Callback manager or list of callbacks :param tags: 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.

Parameters

metadata – 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.

Returns

List of relevant documents

invoke(input: str, config: Optional[RunnableConfig] = None) List[Document]¶
merge_documents(query: str, run_manager: CallbackManagerForRetrieverRun) List[Document][source]¶

Merge the results of the retrievers.

Parameters

query – The query to search for.

Returns

A list of merged documents.

to_json() Union[SerializedConstructor, SerializedNotImplemented]¶
to_json_not_implemented() SerializedNotImplemented¶
property lc_attributes: Dict¶

Return a list of attribute names that should be included in the serialized kwargs. These attributes must be accepted by the constructor.

property lc_namespace: List[str]¶

Return the namespace of the langchain object. eg. [“langchain”, “llms”, “openai”]

property lc_secrets: Dict[str, str]¶

Return a map of constructor argument names to secret ids. eg. {“openai_api_key”: “OPENAI_API_KEY”}

property lc_serializable: bool¶

Return whether or not the class is serializable.

model Config¶

Bases: object

Configuration for this pydantic object.

arbitrary_types_allowed = True¶

Examples using MergerRetriever¶