展示HN:我构建了一个以本地为先的人工智能研究平台,采用先进的RAG技术

4作者: vinhnx大约 1 个月前原帖
我创建了VT Chat,这是一个以隐私为首的人工智能平台,所有的对话都保存在本地,同时提供先进的研究功能,并可访问15个以上的AI模型,包括Claude 4 Sonnet、Claude 4 Opus、O3、Gemini 2.5 Pro和DeepSeek R1。 在线访问:<a href="https://vtchat.io.vn" rel="nofollow">https://vtchat.io.vn</a> | 来源:<a href="https://github.com/vinhnx/vtchat">https://github.com/vinhnx/vtchat</a> 其核心区别在于真正的本地优先架构。所有聊天记录都存储在IndexedDB中,零服务器存储。您的API密钥从不离开浏览器,作为开发者我也无法看到它们。您可以在OpenAI、Anthropic、Google等提供者之间切换,以比较响应,并确保共享设备的数据隔离。 我添加了一些我每天实际使用的研究功能:深度研究可以进行多步骤的研究并进行来源验证,专业搜索集成了实时网页搜索,AI记忆则从您的对话中创建个人知识库。此外,还有PDF文档处理、一个“思考模式”以查看完整的AI推理,以及结构化提取将文档转换为JSON。AI驱动的语义路由会根据您的查询自动激活工具。 该平台使用Next.js 14、TypeScript和Turborepo在单一代码库中构建。所有内容都是完全开源的,您可以使用自己的API密钥进行自托管。托管版本大部分功能免费,VT+选项提供高级模型和先进的研究能力。 欢迎讨论本地优先设计决策、研究工作流程架构或其他任何技术细节。
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I&#x27;ve built VT Chat, a privacy-first AI platform that keeps all your conversations local while providing advanced research capabilities and access to 15+ AI models including Claude 4 Sonnet and Claude 4 Opus, O3, Gemini 2.5 Pro and DeepSeek R1.<p>Live: <a href="https:&#x2F;&#x2F;vtchat.io.vn" rel="nofollow">https:&#x2F;&#x2F;vtchat.io.vn</a> | Source: <a href="https:&#x2F;&#x2F;github.com&#x2F;vinhnx&#x2F;vtchat">https:&#x2F;&#x2F;github.com&#x2F;vinhnx&#x2F;vtchat</a><p>The core difference is true local-first architecture. All chats are stored in IndexedDB with zero server storage. Your API keys never leave your browser, and I can&#x27;t see them even as the developer. You can switch between OpenAI, Anthropic, Google and other providers to compare responses, with complete data isolation for shared machines.<p>I&#x27;ve added research features that I actually use daily: Deep Research does multi-step research with source verification, Pro Search integrates real-time web search, and AI Memory creates a personal knowledge base from your conversations. There&#x27;s also document processing for PDFs, a &quot;thinking mode&quot; to see complete AI reasoning, and structured extraction to turn documents into JSON. AI-powered semantic routing automatically activates tools based on your queries.<p>Built with Next.js 14, TypeScript, and Turborepo in a monorepo setup. Everything is fully open source for self-hosting with your own API keys. The hosted version keeps most features free, with optional VT+ for premium models and advanced research capabilities.<p>Happy to discuss the local-first design decisions, research workflow architecture, or any other technical details.