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RAG - Retrieval Augmented Generation

This is a Streamlit application that allows setting up and testing a RAG application with Azure Cognitive Search and Azure Open AI.

Setup

TBD

Running the application

Run the application with streamlit using the following command:

python -m streamlit run app.py

The following environment variables need to be defined:

Variable name Description
AZURE_COGNITIVE_SEARCH_ENDPOINT Endpoint of the Azure Cognitive Search service
AZURE_COGNITIVE_SEARCH_INDEX_NAME Name of the Azure Cognitive Search index
AZURE_COGNITIVE_SEARCH_KEY Search key of the Azure Cognitive Search service
AZURE_OPEN_AI_ENDPOINT Endpoint of the Azure Open AI service
AZURE_OPEN_AI_KEY API key of the Azure Open AI service
AZURE_OPEN_AI_EMBEDDING_DEPLOYMENT Name of the Azure Open AI embedding model deployment
AZURE_OPEN_AI_CHAT_DEPLOYMENT Name of the Azure Open AI Chat model deployment

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