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Explores the implementation of a LangChain Agent using Azure Cosmos DB for MongoDB vCore to handle traveler inquiries and bookings. The project provides detailed instructions for setting up the environment and loading travel data, aiming to empower developers to integrate similar agents into their solutions.
Complete project (web, api, data) covering the implementation of the RAG (Retrieval Augmented Generation) pattern using Azure Cosmos DB for MongoDB vCore and LangChain. The RAG pattern combines leverages the new vector search capabilities for Azure Cosmos DB.
Enhance LLM retrieval performance with Azure Cosmos DB Semantic Cache. Learn how to integrate and optimize caching strategies in real-world web applications.
This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging CosmosDB, Azure OpenAI, and a React + Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.
This is a REST API designed to handle application forms using Azure Cosmos DB. Users have the ability to tailor forms to their needs, each comprising a title, description, and a set of questions
This is the final project created for Microsoft Future Ready Talent Virtual Internship Program. I created a website that is speak the text provided by the user.I have used 2 core Azure services. 1.Azure App Service 2.Azure cosmosdb for mongodb database to show the recent search history and also used one Azure AI Service(Chatbot)
This project presents a sophisticated data-driven web application that integrates React for frontend visualization, NodeJS for backend data retrieval, and Microsoft's Cosmos DB for data storage. Leveraging the fault tolerance, partitioning, replication, and global distribution advantages of Cosmos DB.