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good morning,
i am currently using bring your own data to load my documents into my ai search resource and index, i would like to automate this process with a python script, i would like to do the steps in the screenshot below in python, then use the updated index directly in my openai chat. how can i do this in python?
Lysa
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(67.2, 70%, 16%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EJR%3C/text%3E%3C/svg%3E)
Hi @AMROUN Lysa , you can use Langchain or Semantic Kernel to add an orchestration layer and using the Azure OpenAI Use your data and Azure AI Search SDK you can automate the entire process. There are several GitHub samples available which you can refer to create a RAG solution in Azure OpenAI.
I am sharing the links for Use your data, Azure AI Search SDK and a GitHub sample that you can refer to create the solution.
https://learn.microsoft.com/en-us/azure/ai-services/openai/references/on-your-data?tabs=python
https://github.com/Azure-Samples/azure-search-openai-demo
Please do not forget to "Accept the answer” and “up-vote” wherever the information provided helps you, this can be beneficial to other community members.
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(185.6, 59%, 27%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3ESM%3C/text%3E%3C/svg%3E)
@AMROUN Lysa You can leverage integrated vectorization in Azure AI Search to automate adding documents directly to your data source.