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- **Description:** This PR adds a callback handler for UpTrain. It performs evaluations in the RAG pipeline to check the quality of retrieved documents, generated queries and responses. - **Dependencies:** - The UpTrainCallbackHandler requires the uptrain package --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> |
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.. | ||
streamlit | ||
tracers | ||
__init__.py | ||
aim_callback.py | ||
argilla_callback.py | ||
arize_callback.py | ||
arthur_callback.py | ||
bedrock_anthropic_callback.py | ||
clearml_callback.py | ||
comet_ml_callback.py | ||
confident_callback.py | ||
context_callback.py | ||
fiddler_callback.py | ||
flyte_callback.py | ||
human.py | ||
infino_callback.py | ||
labelstudio_callback.py | ||
llmonitor_callback.py | ||
manager.py | ||
mlflow_callback.py | ||
openai_info.py | ||
promptlayer_callback.py | ||
sagemaker_callback.py | ||
trubrics_callback.py | ||
uptrain_callback.py | ||
utils.py | ||
wandb_callback.py | ||
whylabs_callback.py |