[{"data":1,"prerenderedAt":18},["ShallowReactive",2],{"news-detail-2055216306602004481":3},{"id":4,"newsTitle":5,"newsImage":6,"newsContent":7,"newsDate":8,"pageView":9,"isRecommend":10,"newTypeId":11,"newsTypeName":11,"showType":10,"seoTitle":5,"seoKeywords":12,"seoDesc":13,"upNewsTitle":14,"upId":15,"nextNewsTitle":16,"nextId":17},"2055216306602004481","YashanDB技术开放麦·上海站，圆满落幕","https://yashandb-website.oss-cn-shenzhen.aliyuncs.com/2026/05/15/1778836688062-C2y176052165.jpeg","\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">当&quot;养龙虾&quot;从技术圈热词蔓延成为全民话题，企业关心的问题只有一个：智能体，到底怎么在生产环境里安全、稳定、规模化跑起来？\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">4月18日，YashanDB技术开放麦·上海站顺利举行。作为崖山数据库首场线下技术沙龙，本次活动以\u003C/span>\u003Cstrong textstyle=\"\" style=\"color: rgb(25, 74, 199); font-size: 15px; font-weight: bold;\">“论道企业级AI智能体落地”\u003C/strong>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">为核心，邀请来自金融、制造、软件等领域的二十余位技术专家与核心从业者围坐畅谈，聚焦Agent落地实操痛点、安全合规红线、经验复用瓶颈与数据底座选型，抛开纸面教程，畅所欲言交流，真正直面真实场景难题。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp>\u003C/p>\u003Csection nodeleaf=\"\" style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; text-align: center;\">\u003Cimg alt=\"崖山数据库新闻图片\" class=\"rich_pages wxw-img js_insertlocalimg\" data-aistatus=\"1\" data-backh=\"321\" data-backw=\"562\" data-croporisrc=\"https://mmbiz.qpic.cn/mmbiz_png/wxg9x76aT8lv4QicWwguibwYSb78xx7OHUULicEicylnf0iaQshqRIFpBn6bUqYra7Ht58yYEicgOOyDbaUtkHRDk9aQfyc8wx4zG0eecDWo1icvrk/0?wx_fmt=png&amp;from=appmsg\" data-cropx1=\"40.99644128113879\" data-cropx2=\"1280.0000000000002\" data-cropy2=\"708.3274021352314\" data-imgfileid=\"100010287\" data-ratio=\"0.5709677419354838\" data-s=\"300,640\" data-type=\"jpeg\" data-w=\"1240\" src=\"https://img.wanwang.xin/contents/sitefiles2053/10268570/images/176052165.jpeg\" type=\"block\" data-img-processed=\"true\" style=\"border: 0px; vertical-align: middle; width: 661px; height: auto !important;\"/>\u003C/section>\u003Cp>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp>\u003C/p>\u003Csection nodeleaf=\"\" style=\"margin: 0px 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; text-align: center;\">\u003Cimg alt=\"崖山数据库新闻图片\" class=\"rich_pages wxw-img\" data-aistatus=\"1\" data-backh=\"92\" data-backw=\"578\" data-imgfileid=\"100008592\" data-ratio=\"0.15866851595006934\" data-s=\"300,640\" data-type=\"png\" data-w=\"3605\" src=\"https://img.wanwang.xin/contents/sitefiles2053/10268570/images/176052163.png\" type=\"block\" data-img-processed=\"true\" style=\"border: 0px; vertical-align: middle; width: 677px; height: auto !important;\"/>\u003C/section>\u003Cp>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em; text-align: center;\">\u003Cspan leaf=\"\">\u003Cstrong textstyle=\"\" style=\"color: rgb(25, 74, 199); font-size: 18px; font-weight: bold;\">思维碰撞：资深从业者面对面聊一聊\u003C/strong>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">本次活动以参会者主导、真实痛点发声为核心，围绕Agent落地易用、安全合规、经验复用三大痛点分组讨论。崖山没有提前给出答案，而是让真实的从业者先说话——以下是三组讨论的核心观点提炼。\u003C/span>\u003C/span>\u003C/p>\u003Cp>\u003C/p>\u003Csection data-pm-slice=\"0 0 []\" style=\"margin: 0px; padding: 0px; font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; box-sizing: border-box; text-align: justify; color: rgb(62, 62, 62);\">\u003Csection style=\"margin: 10px 0px; padding: 0px; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; display: flex; width: 677px; flex-flow: column; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; z-index: 1; box-sizing: border-box;\">\u003Csection style=\"margin: 10px 0px; padding: 0px; display: flex; text-align: left; justify-content: flex-start; flex-flow: row; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px 10px 0px 0px; display: inline-block; vertical-align: middle; width: auto; min-width: 5%; max-width: 100%; flex: 0 0 auto; height: auto; align-self: center; line-height: 0; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; display: inline-block; vertical-align: top; overflow: hidden; height: 0px; width: 0px; border-style: solid; border-width: 6px 0px 6px 9px; border-color: rgba(255, 255, 255, 0) rgba(255, 255, 255, 0) rgba(255, 255, 255, 0) rgb(25, 74, 199); box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; text-align: justify; box-sizing: border-box;\">\u003Cp style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">&nbsp;\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Csection data-bg-processed=\"true\" style=\"margin: 0px; padding: 0px 10px; display: inline-block; vertical-align: middle; width: auto; align-self: center; flex: 0 0 auto; min-width: 5%; max-width: 100%; height: auto; background-color: rgb(236, 238, 242); box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; text-align: justify; color: rgb(25, 74, 199); font-size: 12px; letter-spacing: 2px; box-sizing: border-box;\">\u003Cp style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">\u003Cspan leaf=\"\">\u003Cstrong textstyle=\"\" style=\"font-size: 15px; font-weight: bold;\">分享Agent落地易用的可能性\u003C/strong>\u003C/span>\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Cp>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">本组围绕落地应用场景、踩坑避坑经验、数据底座新需求三大核心问题展开深入交流。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">哪些场景值得优先尝试？\u003C/span>\u003C/span>\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">某头部制造企业首席数据库专家\u003C/span>\u003C/span>\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">薛晓刚作为发言代表给出了清晰判断：\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">日常重复性高、流程标准化强、与核心业务耦合低的场景，\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">是当前Agent落地成功率最高的方向；新建业务优于有历史包袱的旧系统，工具类辅助优于复杂业务决策场景。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">踩坑层面，该组嘉宾重点提到了“掌控力”的问题：如果你对Agent的逻辑没有足够的认知，它不仅会消耗大量Token，还可能给出错误的执行结果，甚至删掉你的代码。模型选择也直接影响效果，薛晓刚直言“花钱买了付费模型，很多免费模型做不到的事它都能干”。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">在数据管理需求上，小组达成了明确共识：\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">多模是不可逆的趋势。\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">向量、图、关系型、半结构化数据在企业里并行存在，如何统一管理、支撑混合检索，直接影响Agent的知识调用质量，也是AI落地绕不开的底层问题。\u003C/span>\u003C/span>\u003C/p>\u003Cp>\u003C/p>\u003Csection data-pm-slice=\"0 0 []\" style=\"margin: 0px; padding: 0px; font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; box-sizing: border-box; text-align: justify; color: rgb(62, 62, 62);\">\u003Csection style=\"margin: 10px 0px; padding: 0px; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; display: flex; width: 677px; flex-flow: column; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; z-index: 1; box-sizing: border-box;\">\u003Csection style=\"margin: 10px 0px; padding: 0px; display: flex; text-align: left; justify-content: flex-start; flex-flow: row; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px 10px 0px 0px; display: inline-block; vertical-align: middle; width: auto; min-width: 5%; max-width: 100%; flex: 0 0 auto; height: auto; align-self: center; line-height: 0; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; display: inline-block; vertical-align: top; overflow: hidden; height: 0px; width: 0px; border-style: solid; border-width: 6px 0px 6px 9px; border-color: rgba(255, 255, 255, 0) rgba(255, 255, 255, 0) rgba(255, 255, 255, 0) rgb(25, 74, 199); box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; text-align: justify; box-sizing: border-box;\">\u003Cp style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">&nbsp;\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Csection data-bg-processed=\"true\" style=\"margin: 0px; padding: 0px 10px; display: inline-block; vertical-align: middle; width: auto; align-self: center; flex: 0 0 auto; min-width: 5%; max-width: 100%; height: auto; background-color: rgb(236, 238, 242); box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; text-align: justify; color: rgb(25, 74, 199); font-size: 12px; letter-spacing: 2px; box-sizing: border-box;\">\u003Cp style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">\u003Cspan leaf=\"\">\u003Cstrong textstyle=\"\" style=\"font-size: 15px; font-weight: bold;\">拆解Agent安全合规的痛点解法\u003C/strong>\u003C/span>\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Cp>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">OpenClaw等开源框架带来的“一人公司”模式，Agent使用边界清晰，风险相对较小；但一旦进入企业场景，数据资产归属、权限边界、合规红线就会随之复杂。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">在碰撞中，为与会嘉宾分享了三大核心风险点：\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">一是数据泄露风险，\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">Agent在部署时往往获得高于普通员工的系统权限，一旦数据外发或权限被滥用，损失难以估量；\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">二是权限越界滥用，\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">低权限账号执行高权限操作、“普通员工却做了主管的事”，已成为企业普遍担忧的现实隐患；\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">三是行为不可审计，\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">Agent的执行操作、决策逻辑与调用链路缺乏完整留痕，一旦出现问题无法追溯、难以定责。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">某证券数据库管理专家提出了新视角：\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">Agent本质上具备软件属性与数字员工两种属性。\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">从软件属性出发，可做版本管理、BUG管控、能力迭代；从数字员工属性出发，则可以参照管理新员工的逻辑来设计权限体系——“为什么做、能不能做、何时做”，对应审批流程、权限隔离与事务分级。具体措施包括：内外网隔离防止数据外发、操作审计留存完整行为记录、以及针对不同风险等级的任务设置差异化的审批链路。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">讨论最终回归到一个共识：\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">安全不能只靠应用层打补丁，数据底座本身的权限架构是否清晰，才是决定管控能否落地的前提。\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">安全问题的根源在于数据本身是否已经具备被Agent调用的条件：分类分级是否清晰、权限边界是否明确。如果企业的数据治理本身尚未到位，指望智能体层面的安全管控来兜底，是不现实的。把Agent类比为一名新员工来管理，事前设门禁（隔离）、事后查打卡（审计），是一个相对直观可落地的思路框架，这也与崖山YashanClaw从数据库底层原生支持行列级权限、全链路审计的设计逻辑高度契合。\u003C/span>\u003C/span>\u003C/p>\u003Cp>\u003C/p>\u003Csection data-pm-slice=\"0 0 []\" style=\"margin: 0px; padding: 0px; font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; box-sizing: border-box; text-align: justify; color: rgb(62, 62, 62);\">\u003Csection style=\"margin: 10px 0px; padding: 0px; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; display: flex; width: 677px; flex-flow: column; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; z-index: 1; box-sizing: border-box;\">\u003Csection style=\"margin: 10px 0px; padding: 0px; display: flex; text-align: left; justify-content: flex-start; flex-flow: row; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px 10px 0px 0px; display: inline-block; vertical-align: middle; width: auto; min-width: 5%; max-width: 100%; flex: 0 0 auto; height: auto; align-self: center; line-height: 0; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; display: inline-block; vertical-align: top; overflow: hidden; height: 0px; width: 0px; border-style: solid; border-width: 6px 0px 6px 9px; border-color: rgba(255, 255, 255, 0) rgba(255, 255, 255, 0) rgba(255, 255, 255, 0) rgb(25, 74, 199); box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; text-align: justify; box-sizing: border-box;\">\u003Cp style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">&nbsp;\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Csection data-bg-processed=\"true\" style=\"margin: 0px; padding: 0px 10px; display: inline-block; vertical-align: middle; width: auto; align-self: center; flex: 0 0 auto; min-width: 5%; max-width: 100%; height: auto; background-color: rgb(236, 238, 242); box-sizing: border-box;\">\u003Csection style=\"margin: 0px; padding: 0px; text-align: justify; color: rgb(25, 74, 199); font-size: 12px; letter-spacing: 2px; box-sizing: border-box;\">\u003Cp style=\"margin: 0px; padding: 0px; box-sizing: border-box;\">\u003Cspan leaf=\"\">\u003Cstrong textstyle=\"\" style=\"font-size: 15px; font-weight: bold;\">共话Agent经验复用的实现路径\u003C/strong>\u003C/span>\u003C/p>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003C/section>\u003Cp>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">经验复用组从“为什么知识库去年落地效果普遍不理想”切入，直指经验复用的核心痛点。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">某软件公司架构师分享道：Agent落地的核心目标是为企业降本增效、可控风险，但在实际推进中，组织协作与流程适配往往成为关键阻碍。一线人员的核心经验、判断逻辑与操作细节，难以完整、系统地沉淀到通用知识库中，导致知识体系天然存在缺失，无法真正嵌入业务工作流、支撑规模化复用。这也是过去一年，不少厂商在知识库落地中遇到的共同难题。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">在可行的复用路径上，经验复用组提出了两个相对具体的切入方向：\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">一是标准化程度高的工作流，\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">例如数据库运维——流程相对固定、判断逻辑可结构化表达，是目前Agent经验复用成功率最高的场景之一；\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">二是趋势性触发机制，\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">即通过大数据积累，在关键指标达到阈值时自动触发Agent执行特定动作，而非依赖人工判断。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">此外，本组也提到了一个前沿的设想：\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">如果能将结构化数据库的精确查询能力与大模型的语义推理能力结合，让模型先通过语言推理定位到精确数据，再基于该数据形成知识输出，或许是解决知识库准确性问题的一条路。\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">这一思路与崖山后续分享中多模融合数据底座的方向高度呼应。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp>\u003C/p>\u003Csection nodeleaf=\"\" style=\"margin: 0px 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; text-align: center;\">\u003Cimg alt=\"崖山数据库新闻图片\" class=\"rich_pages wxw-img\" data-aistatus=\"1\" data-backh=\"92\" data-backw=\"578\" data-imgfileid=\"100008593\" data-ratio=\"0.15866851595006934\" data-s=\"300,640\" data-type=\"png\" data-w=\"3605\" src=\"https://img.wanwang.xin/contents/sitefiles2053/10268570/images/176052164.png\" type=\"block\" data-img-processed=\"true\" style=\"border: 0px; vertical-align: middle; width: 677px; height: auto !important;\"/>\u003C/section>\u003Cp>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em; text-align: center;\">\u003Cspan leaf=\"\">\u003Cstrong textstyle=\"\" style=\"color: rgb(25, 74, 199); font-size: 18px; font-weight: bold;\">技术分享：给出崖山的实践答案\u003C/strong>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">分组讨论结束后，崖山数据库的两位技术专家分别从应用层和底座层，对参会者的讨论痛点给出了系统性的技术回应。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">YashanDB架构师韩锋带来《驯服龙虾：YashanClaw企业级AI Agent安全管控实践》\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">主题分享，深度拆解了开源AI Agent框架爆火背后，企业级落地的核心痛点。韩锋指出，OpenClaw等开源框架降低了AI Agent的开发门槛，但在企业级落地中，面临着安全合规风险高、运维管控难度大、记忆与幻觉问题突出、规模化复用难四大核心困境。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">基于此，\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">崖山打造了YashanClaw企业级解决方案，核心定位为企业级员工助手，完美匹配企业对AI Agent「跑得动、管得住、能安全克隆」的核心需求。\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">YashanClaw通过独立数据沙箱、进程级安全隔离、全流程审批审计、私有化部署等能力，从根源上解决AI Agent的安全管控难题；同时通过企业级可信技能库、长期记忆管理、成熟智能体一键克隆等能力，实现个人经验到组织能力的快速复制，助力企业真正实现AI能力的规模化落地。分享现场还同步演示了YashanClaw的核心功能，直观的产品能力获得了现场嘉宾的高度认可。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp>\u003C/p>\u003Csection nodeleaf=\"\" style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; text-align: center;\">\u003Cimg alt=\"崖山数据库新闻图片\" class=\"rich_pages wxw-img js_insertlocalimg\" data-aistatus=\"1\" data-backh=\"324\" data-backw=\"578\" data-imgfileid=\"100010289\" data-ratio=\"0.5613099771515613\" data-s=\"300,640\" data-type=\"png\" data-w=\"1313\" src=\"https://img.wanwang.xin/contents/sitefiles2053/10268570/images/176052167.png\" type=\"block\" data-img-processed=\"true\" style=\"border: 0px; vertical-align: middle; width: 661px; height: auto !important;\"/>\u003C/section>\u003Cp>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">YashanDB AI 技术专家王思涵带来《AI 时代，打造企业级原生数据底座》\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">主题分享，从底层技术视角，拆解AI落地的核心竞争力——企业私有数据的管与用。王思涵提到，私有数据管理能力是企业AI转型的核心护城河。而当前企业AI落地，普遍面临多库拼凑架构臃肿、多模态数据管理难、向量检索与事务能力难以兼顾、数据安全管控成本高等核心挑战。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">基于此，崖山打造了AI原生数据底座，其原生支持关系、向量、图、文档、GIS等多模数据统一存储与查询，\u003C/span>\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">一套系统替代多套烟囱式架构，大幅降低企业技术栈复杂度与运维成本；同时依托原创资源受限计算理论和跨模融合计算，崖山实现了混合查询性能超主流10倍，且能完整保留企业级数据库的强事务、高可用、高可靠能力。\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">此外，崖山数据底座的核心能力——数据沙箱、数据时光机、增量计算等，可完美支撑AI Agent的安全隔离、操作溯源、记忆管理等核心需求，为企业级AI智能体落地筑牢底层根基。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp>\u003C/p>\u003Csection nodeleaf=\"\" style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; text-align: center;\">\u003Cimg alt=\"崖山数据库新闻图片\" class=\"rich_pages wxw-img js_insertlocalimg\" data-aistatus=\"1\" data-backh=\"323\" data-backw=\"578\" data-imgfileid=\"100010290\" data-ratio=\"0.5594512195121951\" data-s=\"300,640\" data-type=\"png\" data-w=\"1312\" src=\"https://img.wanwang.xin/contents/sitefiles2053/10268570/images/176052166.png\" type=\"block\" data-img-processed=\"true\" style=\"border: 0px; vertical-align: middle; width: 661px; height: auto !important;\"/>\u003C/section>\u003Cp>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">上海站是起点，更是崖山与产业伙伴深度共创的开始。企业级AI智能体落地，是一场长期探索，不同行业、不同场景的实践与卡点，都是最珍贵的产业经验。感谢所有莅临现场的企业技术专家与合作伙伴，正是大家的真实分享、深度思考，让这场交流充满分量与价值。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">\u003Cspan leaf=\"\">\u003Cspan textstyle=\"\" style=\"color: #194AC7; font-size: 15px;\">接下来，YashanDB技术开放麦将陆续走进广州、重庆等不同城市，持续围绕企业级AI落地、数据库国产替代等话题展开技术交流。\u003C/span>\u003Cspan textstyle=\"\" style=\"font-size: 15px;\">如果您希望参与后续城市活动，或有希望探讨的核心话题，欢迎扫描下方二维码留下信息，优先获取对应城市线下开放麦的邀约资格，我们会提前联系您，期待下一站与您见面。\u003C/span>\u003C/span>\u003C/p>\u003Cp style=\"margin: 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; line-height: 1.75em;\">&nbsp;\u003C/p>\u003Cp>\u003C/p>\u003Csection nodeleaf=\"\" style=\"margin: 0px 0px 8px; padding: 0px; color: rgb(64, 64, 64); font-family: &quot;Microsoft YaHei&quot;; font-size: 16px; letter-spacing: 0.544px; white-space: normal; text-align: center;\">\u003Cimg alt=\"崖山数据库新闻图片\" class=\"rich_pages wxw-img\" data-aistatus=\"1\" data-imgfileid=\"100010294\" data-ratio=\"1\" data-s=\"300,640\" data-type=\"png\" data-w=\"400\" src=\"https://img.wanwang.xin/contents/sitefiles2053/10268570/images/176052172.png\" type=\"block\" data-img-processed=\"true\" style=\"border: 0px; vertical-align: middle; height: 192px; width: 192px;\"/>\u003C/section>\u003Csection data-pm-slice=\"0 0 []\" nodeleaf=\"\" data-bg-processed=\"true\" style=\"margin: 0px 8px; padding: 0px; font-size: 16px; letter-spacing: 0.544px; white-space: normal; -webkit-tap-highlight-color: transparent; outline: 0px; max-width: 100%; font-family: &quot;PingFang SC&quot;, system-ui, -apple-system, BlinkMacSystemFont, &quot;Helvetica Neue&quot;, &quot;Hiragino Sans GB&quot;, &quot;Microsoft YaHei UI&quot;, &quot;Microsoft YaHei&quot;, Arial, sans-serif; color: rgb(62, 62, 62); background-color: rgb(255, 255, 255); text-align: center; box-sizing: border-box !important; overflow-wrap: break-word !important;\">\u003Cimg alt=\"图片\" class=\"rich_pages wxw-img\" data-aistatus=\"1\" data-backh=\"103\" data-backw=\"578\" data-imgfileid=\"100008610\" data-ratio=\"0.17777777777777778\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" src=\"https://img.wanwang.xin/contents/sitefiles2053/10268570/images/176052174.png\" type=\"block\" data-img-processed=\"true\" style=\"border: 0px; vertical-align: bottom; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; outline: 0px; height: auto !important; box-sizing: border-box !important; overflow-wrap: break-word !important; width: 661px !important; visibility: visible !important;\"/>\u003C/section>\u003Cp>\u003C/p>\u003Cp>\u003Cbr/>\u003C/p>","2026-05-07 01:18:22",48,0,null,"崖山数据库，yashandb，yashandb知识库，YashanDB，崖山，yashan数据库，崖山db","当\"养龙虾\"从技术圈热词蔓延成为全民话题，企业关心的问题只有一个：智能体，到底怎么在生产环境里安全、稳定、规模化跑起来？ 4月18日，YashanDB技术开放麦·上海站顺利举行。作为崖山数据库首场线下技术沙龙，本次活动以“论道企业级AI智能体落地”为核心，邀请来自金融、制造、软件等领域的二十余位技术专家与核心从业者围坐畅谈，聚焦Agent落地实操痛点、安全合规红线、经验复用瓶颈与数据底座选型，抛开纸面教程，畅所欲言交流，真正直面真实场景难题。","强强联手！崖山科技与海光信息达成战略合作，共筑智算时代数据底座","2055215639397289986","给数据库装上“AI羽翼”，YashanDB智赴广东省人工智能应用对接大会","2055216603189628930",1794148548391]