mirror of
https://github.com/hwchase17/langchain
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f98d7f7494
- **Description:** Support reranking based on cross encoder models
available from HuggingFace.
- Added `CrossEncoder` schema
- Implemented `HuggingFaceCrossEncoder` and
`SagemakerEndpointCrossEncoder`
- Implemented `CrossEncoderReranker` that performs similar functionality
to `CohereRerank`
- Added `cross-encoder-reranker.ipynb` to demonstrate how to use it.
Please let me know if anything else needs to be done to make it visible
on the table-of-contents navigation bar on the left, or on the card list
on [retrievers documentation
page](https://python.langchain.com/docs/integrations/retrievers).
- **Issue:** N/A
- **Dependencies:** None other than the existing ones.
---------
Co-authored-by: Kenny Choe <kchoe@amazon.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
31 lines
792 B
Python
31 lines
792 B
Python
"""**Cross encoders** are wrappers around cross encoder models from different APIs and
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services.
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**Cross encoder models** can be LLMs or not.
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**Class hierarchy:**
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.. code-block::
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BaseCrossEncoder --> <name>CrossEncoder # Examples: SagemakerEndpointCrossEncoder
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"""
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import logging
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from langchain_community.cross_encoders.base import BaseCrossEncoder
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from langchain_community.cross_encoders.fake import FakeCrossEncoder
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from langchain_community.cross_encoders.huggingface import HuggingFaceCrossEncoder
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from langchain_community.cross_encoders.sagemaker_endpoint import (
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SagemakerEndpointCrossEncoder,
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)
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logger = logging.getLogger(__name__)
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__all__ = [
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"BaseCrossEncoder",
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"FakeCrossEncoder",
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"HuggingFaceCrossEncoder",
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"SagemakerEndpointCrossEncoder",
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]
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