Support for embedding models for answer relevancy in ragas#5
Merged
savitharaghunathan merged 1 commit intomainfrom Sep 2, 2025
Merged
Support for embedding models for answer relevancy in ragas#5savitharaghunathan merged 1 commit intomainfrom
savitharaghunathan merged 1 commit intomainfrom
Conversation
…agas and fix other ragas metrics
savitharaghunathan
approved these changes
Sep 2, 2025
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Addresses issue #3
Answer relevancy calculation in ragas requires an embedding model. It works if you are using openai as the provider as it uses the ada-002 embedding model by default(source). However, this metric calculation fails when using any other provider.
Adding support for embedding models served via openai api that can be used for the calculation.
3 new env variables added for this:
OPENAI_EMBEDDING_BASE_URL, OPENAI_EMBEDDING_MODEL, OPENAI_EMBEDDING_API_KEY