Popular GitHub Repositories for Cosmosdb

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

演示：使用 Azure 函数、OpenAI、AI 代理和 Cosmos DB 构建基于 AI 的 GitHub Copilot 代码片段管理工具。该工具利用向量搜索管理代码片段。

A sample for implementing retrieval augmented generation using Azure Open AI to generate embeddings, Azure Cosmos DB for MongoDB vCore to perform vector search, and semantic kernel.

This repository offers a Python framework for a retrieval-augmented generation (RAG) pipeline using text and images from MHTML documents, leveraging Azure AI and OpenAI services. It includes ingestion and enrichment flows, a RAG with Vision pipeline, and evaluation tools.

Discover how to use GitHub Copilot to quickly build a Node.js application with OpenAI and Azure

Example how to construct knowledge graph from document with LLM (Langchain), and use it with CosmosDB/Neo4j

Discover how to use GitHub Copilot to quickly build a Node.js application with Azure Cosmos DB and App Service.

Azure computer vision AI lab using LogicApps, Cognitive Services, CosmosDB and Web Apps

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.

Resources from the Mobile3 event for getting started with Bots and the Cognitive Services

Template for the copilot-nodejs-todo workshop

About This sample showcases how Purview API can be integrated to audit and secure AI prompts and responses

A Python and Azure workshop to look for faces in photos and store the resutls in Cosmos DB, exposed via a Flask app

[Alpha version] Full serverless face tagging services that allow you to build photo sharing services where you can find your registered persons among uploaded photos easily.

The function gets image data from Azure Blob Trigger, gets tags for the image with Computer Vision API (Azure Cognitive Services), and store the tags into Azure Cosmos DB by leveraging CosmosDB output binding.

This repository offers a solution for deploying a Generative AI (GenAI) system on Azure using Retrieval-Augmented Generation (RAG). It features a RAG Chat API integrated with CosmosDB and HTML files, enabling customer support teams to resolve issues effectively.

A collection of solutions that leverage Azure AI services.

Samples using Azure storages, Azure cognitive services, Azure Functions with blob triggers and Cosmos DB output binding for Azure Functions

This sample showcases how Purview API can be integrated to audit and secure AI prompts and responses

AI-powered application designed to draw new insights into the art of ancient Pompeii