Building Intelligent Data Analysis Applications with OpenAI's LLMs and Azure Cosmos DB
summary
Demo builds a sentiment analysis web app that connects OpenAI LLMs to Azure Cosmos DB (account → database movies_review → container reviews), uploads CSV rows via the Cosmos client and master key, retrieves review text by movie ID, calls the OpenAI API to label sentiment (positive/negative/neutral), and shows results in a simple UI. Implementation notes include data partitioning, caching and query optimization; code snippets for CSV import, Cosmos queries and OpenAI calls are runnable and the demo returns live sentiment labels. LangChain appears as orchestration option.
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