matteomarjanovic

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Hi, were you able to solve this problem? Thanks!

Does it mean that, currently, the LangChain representation model doesn't give the option to put keywords in the prompt, right?

I solved that by copying the content of _exampleSite/config.toml_ in _hugo.toml_ file.

Maybe try this: https://github.com/Azure/azure-search-vector-samples/issues/135#issuecomment-1884958322. That solved my issue, even if I'm not sure it was the exact same error

Also, in Search Index creation, when assigning an `AzureOpenAIVectorizer`, there must be the same fix (`deployment_id=os.getenv("AZURE_OPENAI_EMBEDDING_DEPLOYED_MODEL")`). Otherwise, the vector search would return the error 'vectorization endpoint returned status code '404'...

As I can see there is not the same error as in the Jupyter Notebook I mentioned previously