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Support for custom HF embedding model #78

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tranhoangnguyen03 opened this issue Jan 6, 2024 · 2 comments
Closed

Support for custom HF embedding model #78

tranhoangnguyen03 opened this issue Jan 6, 2024 · 2 comments
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@tranhoangnguyen03
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tranhoangnguyen03 commented Jan 6, 2024

I see here that you are encoding the user query and compare them against the encoded utterances in each route and map the query to the closest utterance>route. Rather than using the Cohere or OpenAI embedding models and suffer the latency and expenses from calling their apis, it would be great to be able perform routing use a locally deployed embedding model from HuggingFace. This also opens up the opportunity to use custom embedding model finetuned for specific domain (health-care in my case).

Thanks for the great project. And I can't wait to see it develop further.

@jamescalam jamescalam self-assigned this Jan 6, 2024
@jamescalam jamescalam added the feature New feature request label Jan 6, 2024
@jamescalam
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We want to add this as soon as possible, we're working on it!

@jamescalam
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solved with #90

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