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PrateekKumarSingh/AzureCosmosDB

Session demos for Agents and Memory

A Movie Chatbot powered by Azure Cosmos DB and Azure OpenAI Service.

In this sample, we'll demonstrate how to build a RAG (Retrieval Augmented Generation) pattern application with Unified Memory (Vector Search & Chat History)

Using a subset of the popular Movie Lens 1M dataset. This sample performs RAG over movie data with vector search, stores conversational chat history, and leverages a semantic cache, all using Azure Cosmos DB and its built-in vector search capability. Azure OpenAI Service is used to generate embeddings and LLM completions.

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Created May 16, 2025
Updated May 17, 2025
PrateekKumarSingh/AzureCosmosDB | GitHunt