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Short answer: no. You want to use the same embeddings for the documents and the query. That being said, it is possible to create alignment embeddings to "translate" one embedding model to another. Aligning embeddings involves finding a transformation that maps the embeddings from one model to another, so that their relative semantic relationships are preserved. Some research was done on this but it does not seem like an easy problem to solve. |
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Thank you! I'm in my last semester of law school and my OpenAI credits ran
out earlier than I thought they would, so trying to keep my costs low. I
noticed that Chroma uses sentence-transformers by default and was hoping to
make that work.
…On Wed, Apr 19, 2023 at 1:50 PM Dariel Dato-on ***@***.***> wrote:
Short answer: no. You want to use the same embeddings for the documents
and the query.
That being said, it is possible to create alignment embeddings to
"translate" one embedding model to another. Aligning embeddings involves
finding a transformation that maps the embeddings from one model to
another, so that their relative semantic relationships are preserved. Some
research was done on this <https://arxiv.org/abs/2101.07251> but it does
not seem like an easy problem to solve.
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Brooks Brasfield
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Can't figure this out by looking or asking elsewhere. If I use Sentence Transformers to embed a lot of text & store it in Chroma, can I query that using an OpenAI chat model? Or if I use ada for embedding, can those embeddings be queried by Cohere/LLaMA, etc?
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