Azure-Samples/Cosmic-Food-RAG-app
A chat-based recommendation application that revolutionizes the culinary experience.
Implements retrieval-augmented generation (RAG) using Azure OpenAI embeddings and LangChain to surface personalized meal recommendations from a MongoDB-compatible Cosmos DB vector database. The full-stack application pairs a Python Quart backend with a TypeScript frontend, deployable via Azure Developer CLI (azd) with Infrastructure-as-Code in Bicep, and persists user preferences for repeat ordering across sessions.
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58
Forks
19
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
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0
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