File: //usr/local/lib/python3.10/dist-packages/langchain/retrievers/__pycache__/__init__.cpython-310.pyc
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lmZmZmZm Z m Z m Z m Z m Z m!Z!m"Z"m#Z#m$Z$m%Z%m&Z&m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0m1Z1m2Z2m3Z3m4Z4m5Z5m6Z6m7Z7m8Z8m9Z9m:Z:m;Z;m<Z<m=Z=m>Z> i dd�dd�dd�dd�dd�dd�dd�dd�dd�dd�dd�dd�dd�d d�d d�d d�d d�i d d�d!d�d"d�d#d�d$d�d%d�d&d�d'd�d(d�d)d�d*d�d+d�d,d�d-d�d.d�d/d�d0d��ddddd1��Z?ee@e?d2�ZAd3eBd4efd5d6�ZCg d7�ZDd8S )9a; **Retriever** class returns Documents given a text **query**.
It is more general than a vector store. A retriever does not need to be able to
store documents, only to return (or retrieve) it. Vector stores can be used as
the backbone of a retriever, but there are other types of retrievers as well.
**Class hierarchy:**
.. code-block::
BaseRetriever --> <name>Retriever # Examples: ArxivRetriever, MergerRetriever
**Main helpers:**
.. code-block::
Document, Serializable, Callbacks,
CallbackManagerForRetrieverRun, AsyncCallbackManagerForRetrieverRun
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