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Ability to pass client object in openai_embeddings.py #191
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Thank you @archit0 ! |
Hi @zainhoda when will you be creating the next release? |
@archit0 if you need this released soon, I can release it today. Otherwise I was planning on combining this with the ollama integration and other changes probably by Wednesday/Thursday. |
If you can create a release today, it will be helpful. Thanks |
Sure. I can do that. Where are you storing the generated embeddings btw?
…On Sat, Jan 27, 2024 at 9:09 AM Archit Dwivedi ***@***.***> wrote:
If you can create a release today, it will be helpful. Thanks
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Im currently storing the embeddings in postgres(pgvector) |
That’s great! It’s been on our backlog for a while. Would you be able to
give the code snippet that we could use as a starting point for a pgvector
implementation
…On Sat, Jan 27, 2024 at 9:42 AM Archit Dwivedi ***@***.***> wrote:
Im currently storing the embeddings in postgres(pgvector)
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For other projects I was using pgvector pacakage directly, im still building pgvector class for vanna ai, i will raise a pr once in 2 days once i build and test that feature |
Awesome!
…On Sun, Jan 28, 2024 at 4:54 AM Archit Dwivedi ***@***.***> wrote:
For other projects I was using pgvector pacakage directly, im still
building pgvector class for vanna ai, i will raise a pr once in 2 days once
i build and test that feature
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