搜索结果：官方

Mastra is a TypeScript-based framework for rapidly building AI applications, offering primitives like workflows, agents, RAG, integrations, and evaluations, with support for local or serverless cloud deployment. (Mastra是一个基于TypeScript的框架，用于快速构建AI应用程序，提供工作流、Agent、RAG、集成和评估等基元集，支持在本地或无服务器云上部署。)

本文介绍了使用Schema.org词汇对酒店及各类住宿信息进行语义标注的基础知识与核心建模方法，包括住宿业务、住宿单元等核心实体类型。 原文翻译： This article introduces the foundational knowledge and core modeling methods for semantically annotating hotel and various accommodation information using the Schema.org vocabulary, including key entity types such as LodgingBusiness and Accommodation.

Schema.org has evolved its extension mechanisms from decentralized models to a simpler, unified approach where hosted extensions are now fully integrated into the core vocabulary, while maintaining experimental 'pending' terms and supporting third-party external extensions. (Schema.org已将其扩展机制从分散模型演进为更简单的统一方法，托管扩展现已完全整合到核心词汇表中，同时保留实验性的“待定”术语并支持第三方外部扩展。)

Schema.org数据模型基于类型与属性构建，采用多重继承与灵活的域/范围定义，旨在为大规模网络应用提供实用、可扩展的结构化数据基础。 原文翻译： The Schema.org data model is built on Types and Properties, utilizing multiple inheritance and flexible domain/range definitions. It aims to provide a practical and scalable foundation for structured data in large-scale web applications.

Explains Schema.org's dual hierarchy of types & data types, crucial for effective structured data implementation. (解析 Schema.org 类型与数据类型的双重层次结构，对有效实施结构化数据至关重要。)

Schema.org 提供了一套结构化共享词汇表，通过标记网页内容帮助搜索引擎理解信息，从而呈现更丰富的搜索结果。其核心是基于类型与属性的层次化体系，支持继承，并包含大量预定义模式。 原文翻译： Schema.org provides a structured, shared vocabulary for marking up web content to help search engines understand information and deliver richer search results. Its core is a hierarchical system based on types and properties, supporting inheritance, and includes a vast array of predefined schemas.

Schema.org is a collaborative initiative by major search engines to create a unified structured data markup vocabulary, improving web content understanding and enabling richer search results. (Schema.org 是由主要搜索引擎共同发起的协作项目，旨在创建统一的结构化数据标记词汇表，以增强网页内容理解并实现更丰富的搜索结果。)

This document outlines Schema.org's structured process for vocabulary development, including community collaboration, release cycles, and extension mechanisms. (本文概述了Schema.org词汇表开发的结构化流程，包括社区协作、发布周期和扩展机制。)

OpenBMB 是一个开源的大模型工具链与社区，旨在通过提供标准化工具、降低计算与使用门槛，推动百亿参数以上大语言模型的训练、微调、推理与应用普及。 原文翻译： OpenBMB is an open-source large model toolchain and community. It aims to promote the training, fine-tuning, inference, and widespread application of large language models with over ten billion parameters by providing standardized tools and lowering computational and usage barriers.

English Summary: UltraRAG 2.0 is an open-source framework based on Model Context Protocol (MCP) architecture that simplifies complex RAG system development through YAML configuration, enabling low-code implementation of multi-step reasoning, dynamic retrieval, and modular workflows. It addresses engineering bottlenecks in research and production RAG applications. 中文摘要翻译: UltraRAG 2.0是基于Model Context Protocol（MCP）架构的开源框架，通过YAML配置文件简化复杂RAG系统开发，实现低代码构建多轮推理、动态检索和模块化工作流。它解决了研究和生产环境中RAG应用的工程瓶颈问题。