Intelligent Email Search with Cosmos DB and Azure OpenAI

This project demonstrates an intelligent search application that uses Azure AI search, Cosmos DB vector search and **Azure OpenAI ** to enable advanced email search capabilities. The application provides a Streamlit-based UI for interacting with the search engine and includes an Azure Function for deploying server-side functionality.

Features

• Azure AI Search: Support Hybrid Search & Semantic Reranker to accurately retrieve result.
• Cosmos DB Vector Search: Combines vector similarity (e.g., VectorDistance) and full-text search (FullTextScore) to rank results.
• Azure OpenAI Integration: Computes embeddings for email content (subject and body) and generates search queries using OpenAI's chat completions.
• Streamlit UI: Provides an interactive user interface for natural language queries and displaying email search results.
• Azure Function Deployment: Supports server-side functionality for embedding computation and query execution.

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Prerequisites

Before running the application, ensure you have the following installed:

1. Python (version 3.8 or higher)
2. Azure CLI (for managing Azure resources)
3. Streamlit (installed via pip)
4. Azure Function Core Tools (for deploying Azure Functions)

You also need:

• A Cosmos DB account with vector search enabled.
• Azure OpenAI access (API key, endpoint, and deployment).
• A .env file containing your environment variables (see below).

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Environment Variables

Create a .env file in the project root directory with the following keys:

# Azure OpenAI Configuration  
AZURE_OPENAI_API_KEY=<your-openai-api-key>  
AZURE_OPENAI_ENDPOINT=https://<your-openai-endpoint>  
AZURE_OPENAI_API_VERSION=2023-03-15-preview  
AZURE_OPENAI_CHAT_DEPLOYMENT=<your-chat-deployment-name>  
AZURE_OPENAI_EMB_DEPLOYMENT=<your-embedding-deployment-name>  
  
# Cosmos DB Configuration  
COSMOS_URI=https://<your-cosmos-db-account>.documents.azure.com:443/  
COSMOS_DB_NAME=<your-database-name>  
COSMOS_CONTAINER_NAME=<your-container-name>  
  
# Azure AD Credentials (for Cosmos DB authentication)  
AZURE_CLIENT_ID=<your-client-id>  
AZURE_CLIENT_SECRET=<your-client-secret>  
AZURE_TENANT_ID=<your-tenant-id>