Hi Helon Moreira
I completed my trials in Azure OpenAI playground itself instead of using Jota.AI
It is able to give the desired outputs.
Here is an example from my trials
Input
Quantos reais foram destinados à Nice, que desempenhou um papel crucial no projeto?
Output
Com base nos documentos recuperados, 230 reais foram destinados à Nice, que desempenhou um papel crucial no projeto ^1^ ^2^ . Esses recursos refletem o reconhecimento e a valorização da contribuição indispensável da Nice para o projeto. Se houver mais alguma dúvida ou informação que você precise, sinta-se à vontade para perguntar.
I would suggest you use directly Azure OpenAI service from portal.azure.com and use chat playground to test add your own data feature. Once tested from playground, you can deploy to webapp as serve to customers.
You would need a Basic tier AI search and storage container, and CORS turned out while connecting to your storage account
Suggestion on deployment configuration
You can adjust temperature and prompt engineering to look the answers again with a similar but different query when result is not found in first trial
Reference on using add your own data
Suggestion on Disabling content filter
You can engage your Customer Satisfaction manager to connect with PG team internal get it unblocked but they would prioritize use cases which are directly used on Azure OpenAI or AI foundry instead of third parties like Jota.ai
Thank you.