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Updated 4 months ago

"Embeddings are too large to serve in bulk"

TTim van Heugten
·
I'm trying to switch from OpenAI to Azure OpenAI and now get this on calling embeddings:

{
"heliconeMessage": "Embeddings are too large to serve in bulk"
}

Not sure what this means and how switching to Azure can cause this. Google returns zero results on this.
T
a
J
8 comments
TTim van Heugten
Seems like a fluke as on all other tries I get 'Resource not found'. Man, I thought this would be an easy transition using LangChain, but I guess not.
aayoKho
Hey , we’ll get on this right away. Thanks for flagging it.

When we have an update we’ll lyk
JJustin
Hi this is actually expected. I am guessing you are seeing this in the GraphQL API?
TTim van Heugten
Just in the JSON view of the request (UI)
TTim van Heugten
I thought I was on to getting Azure to work, but I’ll need to get back to this later.
TTim van Heugten
I thought it would mean changing a few env vars but can’t get it to work.
JJustin
Basically we have your embeddings but don’t serve it back upwards because they are too large for our serverless functions
JJustin
do you need to look at the embeddings on the frontend?
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