Embeddings and Chroma is not working for Microsoft OpenAI

Question

I want to search information in a PDF using longchain and embeddings. It's working fine with OpenAI, but when I am doing with Microsoft Open AI (Azure Cognitive services) is not working.

embeddings = OpenAIEmbeddings(
            openai_api_base=[my_azure_openai_url],
            openai_api_type="azure",
            openai_api_key=[api_key],
            openai_api_version="2022-12-01"
        )
        vectordb = Chroma.from_documents(pages, embedding=embeddings,
                                         persist_directory=".")

And when I am passing embedding to Chroma, I got this error from Microsoft.

*" Too many inputs. The max number of inputs is 1. We hope to increase the number of inputs per request soon. Please contact us through an Azure support request at: https://go.microsoft.com/fwlink/?linkid=2213926 for further questions."
*

I tried to create a request, but all the request are fixed, you can' request anything ad-hoc.

Answer 1

I am also getting an issue

Code:

embeddings = OpenAIEmbeddings()

doc_search = Chroma.from_documents(texts, embeddings)

Error:

InvalidRequestError: Too many inputs. The max number of inputs is 1. We hope to increase the number of inputs per request soon.