Popular GitHub Repositories for Cosmos

DiffusionRenderer (Cosmos): Neural Inverse and Forward Rendering with Video Diffusion Models

Your ? Superintelligence

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。

一个模型上下文协议 (MCP) 服务器，它提供对 Azure Cosmos DB 数据集的安全访问。允许大型语言模型 (LLM) 通过标准化接口安全地查询和分析数据。

The Doc Intelligence in-a-Box project leverages Azure AI Document Intelligence to extract data from PDF forms and store the data in a Azure Cosmos DB. This solution, part of the AI-in-a-Box framework by Microsoft Customer Engineers and Architects, ensures quality, efficiency, and rapid deployment of AI and ML solutions across various industries.

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.

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.

A Cosmos API starter project to analyze files and chat with LLM.

This sample shows how to build vector similarity search on Azure Cosmos DB for PostgreSQL using the pgvector extension and the multi-modal embeddings APIs of Azure AI Vision.

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

Enhance LLM retrieval performance with Azure Cosmos DB Semantic Cache. Learn how to integrate and optimize caching strategies in real-world web applications.

Image Vector Similarity Search with Azure AI Vision (Florence model) and Azure Cosmos DB for PostgreSQL

An AI-powered multi-agent financial advisor for personalized investment strategies, real-time market insights, and tailored financial planning.

使用Go SDK构建的Cosmos DB的MCP服务器示例实现

Python project using time series analyze to predict value of cosmos

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

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.

MantleChain (MCP)

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.

Toolkit to transfer the carla format to cosmos RDS-HQ