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Thank you for releasing REPOCOD and providing the inference code example.
I'm interested in reproducing the dense retrieval mechanism that uses text-embedding-3-small. The current example only uses the "current file" context approach, I was hoping to reproduce results with the dense retrieval method as well.
Would it be possible to:
Share the implementation of the dense retrieval mechanism?
Provide details such as:
How different parts of functions (signature/docstring/body) are combined for embedding
The exact pre-processing steps used before embedding
The similarity search implementation
Any specific thresholds or parameters used for retrieval
This would be really helpful to us and the community!
Thank you for considering this request!
The text was updated successfully, but these errors were encountered:
Hi team,
Thank you for releasing REPOCOD and providing the inference code example.
I'm interested in reproducing the dense retrieval mechanism that uses text-embedding-3-small. The current example only uses the "current file" context approach, I was hoping to reproduce results with the dense retrieval method as well.
Would it be possible to:
This would be really helpful to us and the community!
Thank you for considering this request!
The text was updated successfully, but these errors were encountered: