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Describe the bug I cannot run the Tutorial: Model-Based Evaluation of RAG Pipelines as written because when executed I get a runtime error.
Error message haystack.core.errors.PipelineConnectError: 'llm.meta does not exist. Output connections of llm are: replies (type List[str])
Expected behavior Much like llm.replies, I would expect llm.meta to be available for connect purposes
Additional context I have haystack-ai==2.0.1 pip installed
haystack-ai==2.0.1
To Reproduce Run the code in its entirety
Run on Windows Enterprise 10
The text was updated successfully, but these errors were encountered:
Now we have a new tutorial on evaluation -> https://haystack.deepset.ai/tutorials/35_evaluating_rag_pipelines
We also have 3 notebooks for integrations with other packages around evaluation: https://github.com/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_deep_eval.ipynb https://github.com/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_ragas.ipynb https://github.com/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_uptrain.ipynb
It's hard to tell which tutorial you were referring to.
I'm closing the issue. If the error persists, please reopen the issue and add some details.
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Describe the bug
I cannot run the Tutorial: Model-Based Evaluation of RAG Pipelines as written because when executed I get a runtime error.
Error message
haystack.core.errors.PipelineConnectError: 'llm.meta does not exist. Output connections of llm are: replies (type List[str])
Expected behavior
Much like llm.replies, I would expect llm.meta to be available for connect purposes
Additional context
I have
haystack-ai==2.0.1
pip installedTo Reproduce
Run the code in its entirety
Run on Windows Enterprise 10
The text was updated successfully, but these errors were encountered: