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72.4M results

Sanskrit Lexicon Correction Form History As of June 10, 2026 1 correction records, with 1 PENDING Case 1: 06/09/2026 dict=, L=, hw=, user= old = new = comment = status = PENDING
daily-corrections

背景 只按单一域检索容易回答片面。公开站问答应该始终以“我是谁”的基础简历上下文为底,再叠加项目、兴趣、创作等分域内容。 目标 - 所有回答默认检索 resume_core。 - 按路由结果追加一个或多个目标域。 - 合并 citations 时保留来源域和 score。 - 低相关结果进入拒答或不确定回答。 非目标 - 不做复杂 rerank 重写。 - 不改变引用展示协议。 ...
area:ai-chat
area:rag
M26
type:feature

背景 当前 AiChatService.generateAnswer() 同时承担分类、检索、回答和 block 构建职责。随着多域 RAG 增强,应该引入单独编排层承载图谱逻辑。 目标 - 新增 AiChatGraphService 或等价 Orchestrator。 - 初步实现 input_normalize - intent_and_domain_route - boundary_guard ...
area:ai-chat
area:rag
M26
type:feature

Prerequisites - [x] Code changes on staging branch (lib/queues/servicebus.ts, firehose workflow) - [x] DEV_SERVICEBUS_NAMESPACE variable set → nihdevgithubportalsb Steps - [ ] Run staging_terraform_dev.yml ...
enhancement

Problem Two related robustness issues around hint-session state: 1. HinterClient.attachHints() (src/lib/hinter-client.ts) sets this.hinting = true before await sendToRuntime(...). If the send fails ...
bug

背景 当前 RAG 已有 resume、knowledge、user_docs 等来源,但缺少面向问答意图的知识域划分。需要先定义逻辑域,再让检索可以按域过滤和组合。 目标 - 定义知识域:resume_core、projects、experience、skills、hobbies、writing_media。 - 为 chunk metadata 增加或规范 knowledgeDomain、contentType、sourceCollection、renderHint。 ...
area:ai-chat
area:rag
M26
type:feature

MaxKB Version v2.10.0-lts Please describe your needs or suggestions for improvements 工作流知识库中操作动作建议增加【删除文档】,以支持达到自动化维护文档上下架的场景 Please describe the solution you suggest No response Additional Information ...

Problem The frame-to-frame protocol in src/dom/dom-messages.ts (com.github.kui.knavi.Blur, com.github.kui.knavi.AllRectsRequest) does not validate event.source / event.origin. Any page script or embedded ...
enhancement

背景 AI Intro 是新的公开站体验,需要在交互、视觉、移动端和文档上完成首版收口,确保它可以作为 M26 多域 RAG 的前端承载面继续演进。 目标 - 收口 Intro 页面视觉和交互细节。 - 补充桌面与移动端人工验证记录。 - 更新开发日志与源码拆解入口。 - 明确后续进入 M26 的边界。 非目标 - 不新增后端能力。 - 不扩展 LangGraph。 ...
area:ai-chat
M25
type:docs

背景 当前 server 和 api-client 已有 answerBlocks 雏形,但前端消息列表对多数 block 未做正式展示。需要把结构化回答升级为可复用渲染层,支撑项目卡片、兴趣卡片、文章卡片等多样化表达。 目标 - 新增统一 Answer Block Renderer。 - 支持 project_card、experience_card、hobby_card、article_card、media_card、summary、system_notice。 ...
area:ai-chat
M25
type:feature
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