关键词 "Augmented reality fitness" 的搜索结果, 共 16 条, 只显示前 480 条
Luma AI enables lifelike 3D capture and photorealistic effects for everyone.
Immerse yourself in Chemistry with our 3D Periodic Table app.
RAGFlow 是一款基于深度文档理解构建的开源 RAG(Retrieval-Augmented Generation)引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程,结合大语言模型(LLM)针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。
A Perplexity API Model Context Protocol (MCP) server that unlocks Perplexity's search-augmented AI capabilities for LLM agents. Features robust error handling, secure input validation, and transparent
VRChat MCP OSC provides a bridge between AI assistants and VRChat using the Model Context Protocol (MCP), enabling AI-driven avatar control and interactions in virtual reality environments. By levera
Connects MCP to major 3D printer APIs (Orca, Bambu, OctoPrint, Klipper, Duet, Repetier, Prusa, Creality). Control prints, monitor status, and perform advanced STL operations like scaling, rotation, se
This demonstration project shows how to implement a Model Context Protocol (MCP) server with Retrieval-Augmented Generation (RAG) capabilities. The demo allows AI models to interact with a knowledge b
A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.
mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your docum
A learning repository exploring Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
MCP server for interacting with the Whoop API to retrieve fitness and health data
Allows clients like Claude Desktop to access your Garmin data
MCP server for retrieval augmented thinking and problem solving
🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.
只显示前20页数据,更多请搜索
Showing 169 to 184 of 184 results