New version: ReorProject.Reor version 0.2.31

manifests/r/ReorProject/Reor/0.2.31/ReorProject.Reor.installer.yaml

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+# Created with YamlCreate.ps1 v2.4.1 Dumplings Mod $debug=QUSU.CRLF.7-4-6.Win32NT
+# yaml-language-server: $schema=https://aka.ms/winget-manifest.installer.1.6.0.schema.json
+
+PackageIdentifier: ReorProject.Reor
+PackageVersion: 0.2.31
+InstallerType: nullsoft
+InstallerSwitches:
+  Upgrade: --updated
+UpgradeBehavior: install
+Dependencies:
+  PackageDependencies:
+  - PackageIdentifier: Microsoft.VCRedist.2015+.x64
+ReleaseDate: 2024-11-23
+Installers:
+- Architecture: x64
+  Scope: user
+  InstallerUrl: https://github.com/reorproject/reor/releases/download/v0.2.31/Reor_0.2.31.exe
+  InstallerSha256: DBB99613960487AD4E6AC9432E8F573C03DC9672E0AE9267ED08C8E33B4ABBBF
+  InstallerSwitches:
+    Custom: /currentuser
+  ProductCode: ab5a7b62-9f10-5366-9909-a9a1b938f634
+- Architecture: x64
+  Scope: machine
+  InstallerUrl: https://github.com/reorproject/reor/releases/download/v0.2.31/Reor_0.2.31.exe
+  InstallerSha256: DBB99613960487AD4E6AC9432E8F573C03DC9672E0AE9267ED08C8E33B4ABBBF
+  InstallerSwitches:
+    Custom: /allusers
+  ProductCode: ab5a7b62-9f10-5366-9909-a9a1b938f634
+ManifestType: installer
+ManifestVersion: 1.6.0

manifests/r/ReorProject/Reor/0.2.31/ReorProject.Reor.locale.en-US.yaml

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+# Created with YamlCreate.ps1 v2.4.1 Dumplings Mod $debug=QUSU.CRLF.7-4-6.Win32NT
+# yaml-language-server: $schema=https://aka.ms/winget-manifest.defaultLocale.1.6.0.schema.json
+
+PackageIdentifier: ReorProject.Reor
+PackageVersion: 0.2.31
+PackageLocale: en-US
+Publisher: Sam L'Huillier
+PublisherUrl: https://www.reorproject.org/
+PublisherSupportUrl: https://github.com/reorproject/reor/issues
+# PrivacyUrl:
+# Author:
+PackageName: Reor
+PackageUrl: https://www.reorproject.org/
+License: AGPL-3.0
+LicenseUrl: https://github.com/reorproject/reor/blob/HEAD/LICENSE
+Copyright: © 2024 Reor Project
+# CopyrightUrl:
+ShortDescription: Private & local AI personal knowledge management app.
+Description: |-
+  Reor is an AI-powered desktop note-taking app: it automatically links related notes, answers questions on your notes, provides semantic search and can generate AI flashcards. Everything is stored locally and you can edit your notes with an Obsidian-like markdown editor.
+  The hypothesis of the project is that AI tools for thought should run models locally by default. Reor stands on the shoulders of the giants Ollama, Transformers.js & LanceDB to enable both LLMs and embedding models to run locally:
+  1. Every note you write is chunked and embedded into an internal vector database.
+  2. Related notes are connected automatically via vector similarity.
+  3. LLM-powered Q&A does RAG on your corpus of notes.
+  4. Everything can be searched semantically.
+  One way to think about Reor is as a RAG app with two generators: the LLM and the human. In Q&A mode, the LLM is fed retrieved context from the corpus to help answer a query. Similarly, in editor mode, the human can toggle the sidebar to reveal related notes "retrieved" from the corpus. This is quite a powerful way of "augmenting" your thoughts by cross-referencing ideas in a current note against related ideas from your corpus.
+Moniker: reor
+Tags:
+- ai
+- large-language-model
+- llama
+- llm
+- markdown
+- notes
+- pkm
+- rag
+# ReleaseNotes:
+ReleaseNotesUrl: https://github.com/reorproject/reor/releases/tag/v0.2.31
+# PurchaseUrl:
+# InstallationNotes:
+Documentations:
+- DocumentLabel: Docs
+  DocumentUrl: https://www.reorproject.org/docs
+ManifestType: defaultLocale
+ManifestVersion: 1.6.0

manifests/r/ReorProject/Reor/0.2.31/ReorProject.Reor.locale.zh-CN.yaml

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+# Created with YamlCreate.ps1 v2.4.1 Dumplings Mod $debug=QUSU.CRLF.7-4-6.Win32NT
+# yaml-language-server: $schema=https://aka.ms/winget-manifest.locale.1.6.0.schema.json
+
+PackageIdentifier: ReorProject.Reor
+PackageVersion: 0.2.31
+PackageLocale: zh-CN
+Publisher: Sam L'Huillier
+PublisherUrl: https://www.reorproject.org/
+PublisherSupportUrl: https://github.com/reorproject/reor/issues
+# PrivacyUrl:
+# Author:
+PackageName: Reor
+PackageUrl: https://www.reorproject.org/
+License: AGPL-3.0
+LicenseUrl: https://github.com/reorproject/reor/blob/HEAD/LICENSE
+Copyright: © 2024 Reor Project
+# CopyrightUrl:
+ShortDescription: 私人本地 AI 个人知识管理应用。
+Description: |-
+  Reor 是一款 AI 驱动的桌面笔记应用：它能自动链接相关笔记，回答笔记中的问题，提供语义搜索，并能生成 AI 闪卡。所有内容都存储在本地，你可以使用类似 Obsidian 的 Markdown 编辑器编辑笔记。
+  该项目的假设是，用于思考的 AI 工具应默认在本地运行模型。Reor 站在 Ollama、Transformers.js 和 LanceDB 等巨头的肩膀上，让 LLM 和嵌入模型都能在本地运行：
+  1. 你写下的每一个字都会被分块嵌入到一个内部向量数据库中。
+  2. 通过向量相似性自动连接相关笔记。
+  3. 由 LLM 驱动的 Q&A 会对您的笔记语料库进行 RAG 分析。
+  4. 所有内容都可以进行语义搜索。
+  若想理解 Reor，可将其视为具有以下两个生成器的 RAG 应用：LLM 和人。在 Q&A 模式下，LLM 会从语料库中获取上下文来帮助回答问题。同样，在编辑模式下，人可以切换侧边栏，显示从语料库中“检索”的相关笔记。这种通过将当前笔记中的观点与语料库中的相关观点进行交叉引用来“扩充”思维的方式非常强大。
+# Moniker:
+Tags:
+- llama
+- llm
+- markdown
+- 个人知识管理
+- 人工智能
+- 大语言模型
+- 检索增强生成
+- 笔记
+# ReleaseNotes:
+ReleaseNotesUrl: https://github.com/reorproject/reor/releases/tag/v0.2.31
+# PurchaseUrl:
+# InstallationNotes:
+Documentations:
+- DocumentLabel: 文档
+  DocumentUrl: https://www.reorproject.org/docs
+ManifestType: locale
+ManifestVersion: 1.6.0

manifests/r/ReorProject/Reor/0.2.31/ReorProject.Reor.yaml

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+# Created with YamlCreate.ps1 v2.4.1 Dumplings Mod $debug=QUSU.CRLF.7-4-6.Win32NT
+# yaml-language-server: $schema=https://aka.ms/winget-manifest.version.1.6.0.schema.json
+
+PackageIdentifier: ReorProject.Reor
+PackageVersion: 0.2.31
+DefaultLocale: en-US
+ManifestType: version
+ManifestVersion: 1.6.0