I am struggling on complicated RAG code for Mosaic evaluation deployment
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02-11-2025 03:46 PM
I want to know how I can apply some complicated RAG designs so I can directly deploy on the Mosaic AI evaluation UI. There are two cases:
1. two or more index retrieval as independent tools (parallel retrievals)
2.two index retrieval processes that depend on each other. For example, Retriever A returns Entity B, which is used as a filter for another Retriever C; C returns the entity D for the LLM invoke function (linear retrievals)
3.two completely independent RAG chains as two tools for the same agent: different retrievals, different LLMs (parallel RAGs)
Can anyone please give me any notebooks or chain templates on any of these case so that the code can successfully pass model.log() and model.deploy()?model.deploy() is very hard to debug on these issues. Thanks!😊
- Labels:
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Langchain
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MlFlow
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Mosaic AI evaluation
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RAG
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02-17-2025 06:04 AM
Interesting use case, would love to know the answer!

