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As a developer leveraging LeapfrogAI I want to be able to evaluation my custom RAG pipelines So that I can compare my custom RAG pipeline to the LeapfrogAI baseline
Acceptance Criteria
An abstract class RAGPipeline is added to replace the current method of running each evaluation. a baseline LFAI RAG pipeline class implementation will be added so that the current baseline still functions as expected. If custom pipelines are required, one can follow the implementation details using the abstract class to run LFAI evals.
The text was updated successfully, but these errors were encountered:
User Story
As a developer leveraging LeapfrogAI
I want to be able to evaluation my custom RAG pipelines
So that I can compare my custom RAG pipeline to the LeapfrogAI baseline
Acceptance Criteria
An abstract class
RAGPipeline
is added to replace the current method of running each evaluation. a baseline LFAI RAG pipeline class implementation will be added so that the current baseline still functions as expected. If custom pipelines are required, one can follow the implementation details using the abstract class to run LFAI evals.The text was updated successfully, but these errors were encountered: