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feat(rag): Auto-RAG about katib HOT 6 OPEN

gaocegege avatar gaocegege commented on June 2, 2024 4
feat(rag): Auto-RAG

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Comments (6)

gaocegege avatar gaocegege commented on June 2, 2024 1

The workflow should be similar. I think. We could make a demo based on llama index to see if there is anything we miss.

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gaocegege avatar gaocegege commented on June 2, 2024

Maybe we could add an example to showcase how to use Katib and LlamaIndex to AutoRAG.

Not sure if there is any new feature to be implemented.

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gaocegege avatar gaocegege commented on June 2, 2024

Related: https://github.com/Marker-Inc-Korea/AutoRAG

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tariq-hasan avatar tariq-hasan commented on June 2, 2024

Are you thinking of adding an example that uses the proposed tuning API for LLMs to demonstrate Auto-RAG?

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gaocegege avatar gaocegege commented on June 2, 2024

@tariq-hasan It should work. But I do not have the bandwidth for it. I'm simply presenting the idea for consideration at this point.

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andreyvelich avatar andreyvelich commented on June 2, 2024

Thanks for creating this @gaocegege.
Are there any differences to optimize these HPs for RAG (e.g. chunking strategies and window sizes) compare to our current optimization flow with Experiment -> Suggestion -> Trials?
I guess, Trials can consume prompt and produce the metrics.

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