feat: add batch run beta component #5489
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Attached is a flow to test the component.
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ogabrielluiz
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Dec 31, 2024
| conversation.append({"role": "user", "content": text}) | ||
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| # Invoke the model | ||
| response = model.invoke(conversation) |
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No need to do this. Langchain has a batch method. Also, it is better to using async methods as it can help with performance.
https://python.langchain.com/docs/how_to/lcel_cheatsheet/#batch-a-runnable
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So what's the proposal? Change this component or create a "batch mode" for models?
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This component allows multiple texts coming from a LF DataFrame object to be processed by a language model and returns a DataFrame with the generated content per row.