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-  <text x="500" y="54" text-anchor="middle" font-size="13" fill="#86909C">两层架构：流水线状态层（MySQL） + RAG 引擎层（文件索引），由 recording_id 桥接</text>
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-  <text x="600" y="470" font-size="12" font-weight="600" fill="#86909C">vdb_video_segment_feature.json ✗</text>
-  <text x="600" y="488" font-size="10" fill="#86909C">视觉通道（已砍） — Level 2 换 CLAP 音频嵌入</text>
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-  <text x="600" y="528" font-size="11" font-weight="600" fill="#0F7A2E">→ 可选增强 Level 2 / 3</text>
-  <text x="600" y="546" font-size="10" fill="#4E5969">· CLAP 音频嵌入（替代 ImageBind 视觉）</text>
-  <text x="600" y="560" font-size="10" fill="#4E5969">· CAM++ 声纹 → 跨录音说话人链接</text>
-  <text x="600" y="574" font-size="10" fill="#4E5969">· Neo4j 图存储（大规模时切走 NetworkX）</text>
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-  <text x="950" y="525" text-anchor="middle" font-size="9" fill="#5B1DAB">零代码</text>
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-  <text x="950" y="557" text-anchor="middle" font-size="9" fill="#5B1DAB">需改一函数</text>
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fill="url(#grad-purple)" stroke="#722ED1" stroke-width="1.5" rx="10"/><text x="950" y="115" fill="#5B1DAB" font-size="12" font-weight="700" text-anchor="middle">服务 Services</text><rect width="64" height="40" x="918" y="135" fill="#FFF" stroke="#722ED1" rx="4"/><text x="950" y="152" fill="#1D2129" font-size="10" font-weight="600" text-anchor="middle">Silero</text><text x="950" y="167" fill="#86909C" font-size="9" text-anchor="middle">VAD</text><rect width="64" height="40" x="918" y="180" fill="#FFF" stroke="#722ED1" rx="4"/><text x="950" y="197" fill="#1D2129" font-size="10" font-weight="600" text-anchor="middle">funASR</text><text x="950" y="212" fill="#86909C" font-size="9" text-anchor="middle">中文 ASR</text><rect width="64" height="40" x="918" y="225" fill="#FFF" stroke="#722ED1" rx="4"/><text x="950" y="242" fill="#1D2129" font-size="10" font-weight="600" text-anchor="middle">vLLM</text><text x="950" y="257" fill="#86909C" font-size="9" text-anchor="middle">Qwen3.6-27B</text><rect 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text-anchor="middle">CAM++</text><text x="950" y="437" fill="#86909C" font-size="9" text-anchor="middle">声纹</text><rect width="64" height="120" x="918" y="460" fill="#F5E8FF" stroke="#722ED1" stroke-dasharray="3 2" rx="4"/><text x="950" y="478" fill="#5B1DAB" font-size="9" text-anchor="middle">OpenAI 兼容</text><text x="950" y="491" fill="#5B1DAB" font-size="9" text-anchor="middle">协议接入</text><text x="950" y="513" fill="#5B1DAB" font-size="9" text-anchor="middle">LLM/Emb</text><text x="950" y="525" fill="#5B1DAB" font-size="9" text-anchor="middle">零代码</text><text x="950" y="545" fill="#5B1DAB" font-size="9" text-anchor="middle">仅 ASR</text><text x="950" y="557" fill="#5B1DAB" font-size="9" text-anchor="middle">需改一函数</text><line x1="540" x2="580" y1="380" y2="380" stroke="#F53F3F" stroke-width="2.5" marker-end="url(#arrow)"/><rect width="60" height="20" x="525" y="370" fill="#FFF1F0" stroke="#F53F3F" rx="4"/><text x="555" y="384" fill="#F53F3F" font-size="10" font-weight="700" text-anchor="middle">recording_id</text><line x1="190" x2="240" y1="200" y2="200" stroke="#4E5969" stroke-width="1.5" marker-end="url(#arrow)"/><line x1="190" x2="240" y1="300" y2="300" stroke="#4E5969" stroke-width="1.5" marker-end="url(#arrow)"/><text x="215" y="194" fill="#4E5969" font-size="9" text-anchor="middle">注册</text><text x="215" y="294" fill="#4E5969" font-size="9" text-anchor="middle">触发</text><line x1="540" x2="580" y1="240" y2="240" stroke="#165DFF" stroke-dasharray="4 2" stroke-width="1.5" marker-end="url(#arrow-blue)"/><line x1="540" x2="580" y1="420" y2="420" stroke="#165DFF" stroke-dasharray="4 2" stroke-width="1.5" marker-end="url(#arrow-blue)"/><line x1="910" x2="900" y1="155" y2="155" stroke="#722ED1" stroke-dasharray="2 2" stroke-width="1.2"/><line x1="910" x2="900" y1="200" y2="200" stroke="#722ED1" stroke-dasharray="2 2" stroke-width="1.2"/><line x1="910" x2="900" y1="245" y2="245" stroke="#722ED1" stroke-dasharray="2 2" stroke-width="1.2"/><line x1="910" x2="900" y1="290" y2="290" stroke="#722ED1" stroke-dasharray="2 2" stroke-width="1.2"/><line x1="910" x2="900" y1="335" y2="335" stroke="#722ED1" stroke-dasharray="2 2" stroke-width="1.2"/><rect width="660" height="20" x="220" y="615" fill="#FFF7E8" stroke="#FF7D00" rx="4"/><text x="550" y="629" fill="#7A4D00" font-size="11" font-weight="600" text-anchor="middle">Frontend · React + Arco Design Web · 知识图谱浏览器（AntV G6）· 多级标签看板 · Prompt 版本管理 · 检索溯源链</text></svg>
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-  <text x="500" y="32" text-anchor="middle" font-size="20" font-weight="700" fill="#1D2129">索引数据流（Indexing Dataflow）</text>
-  <text x="500" y="52" text-anchor="middle" font-size="12" fill="#86909C">绿=新增/替换 · 红=砍掉 · 蓝=保留自 VideoRAG · 紫=服务调用</text>
-
-  <!-- 流水线节点 -->
-  <g font-size="11">
-    <!-- 1. 录音接入 -->
-    <rect x="20" y="90" width="120" height="60" rx="8" fill="#FFF7E8" stroke="#FF7D00" stroke-width="1.5"/>
-    <text x="80" y="112" text-anchor="middle" font-weight="700" fill="#1D2129">① 录音接入</text>
-    <text x="80" y="128" text-anchor="middle" fill="#86909C">watchdog / 上传</text>
-    <text x="80" y="142" text-anchor="middle" fill="#86909C">写 recordings 行</text>
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-    <!-- 2. VAD 切分 (替换) -->
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-    <text x="500" y="128" text-anchor="middle" fill="#86909C">CAM++ 说话人分离</text>
-    <text x="500" y="142" text-anchor="middle" fill="#86909C">跨录音链接</text>
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-    <text x="640" y="128" text-anchor="middle" fill="#86909C">按 token 预算打包</text>
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-    <text x="710" y="348" text-anchor="middle" fill="#86909C">✗ ImageBind 多模态编码（砍掉）</text>
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+<svg xmlns="http://www.w3.org/2000/svg" font-family="-apple-system, BlinkMacSystemFont, 'PingFang SC', 'Helvetica Neue', Arial, sans-serif" viewBox="0 0 1000 560"><defs><marker id="i-arrow" markerHeight="6" markerWidth="6" orient="auto" refX="9" refY="5" viewBox="0 0 10 10"><path fill="#165DFF" d="M0,0 L10,5 L0,10 z"/></marker><marker id="i-arrow-gray" markerHeight="6" markerWidth="6" orient="auto" refX="9" refY="5" viewBox="0 0 10 10"><path fill="#4E5969" d="M0,0 L10,5 L0,10 z"/></marker></defs><rect width="1000" height="560" fill="#FAFBFC"/><text x="500" y="32" fill="#1D2129" font-size="20" font-weight="700" text-anchor="middle">索引数据流（Indexing Dataflow）</text><text x="500" y="52" fill="#86909C" font-size="12" text-anchor="middle">绿=新增/替换 · 红=砍掉 · 蓝=保留自 VideoRAG · 紫=服务调用</text><g font-size="11"><rect width="120" height="60" x="20" y="90" fill="#FFF7E8" stroke="#FF7D00" stroke-width="1.5" rx="8"/><text x="80" y="112" fill="#1D2129" font-weight="700" text-anchor="middle">① 录音接入</text><text x="80" y="128" fill="#86909C" text-anchor="middle">watchdog / 上传</text><text x="80" y="142" fill="#86909C" text-anchor="middle">写 recordings 行</text><rect width="120" height="60" x="160" y="90" fill="#E8FFEA" stroke="#00B42A" stroke-width="1.5" rx="8"/><text x="220" y="112" fill="#0F7A2E" font-weight="700" text-anchor="middle">② VAD 切分 🆕</text><text x="220" y="128" fill="#86909C" text-anchor="middle">Silero 检测语音段</text><text x="220" y="142" fill="#86909C" text-anchor="middle">跳静音 → ASR 有效</text><rect width="120" height="60" x="300" y="90" fill="#E8FFEA" stroke="#00B42A" stroke-width="1.5" rx="8"/><text x="360" y="112" fill="#0F7A2E" font-weight="700" text-anchor="middle">③ ASR 转写 🆕</text><text x="360" y="128" fill="#86909C" text-anchor="middle">funASR（中文强）</text><text x="360" y="142" fill="#86909C" text-anchor="middle">每段 → transcript</text><rect width="120" height="60" x="440" y="90" fill="#F5E8FF" stroke="#722ED1" stroke-dasharray="3 2" stroke-width="1.5" rx="8"/><text x="500" y="112" fill="#5B1DAB" font-weight="700" text-anchor="middle">④ 声纹 (可选) 🆕</text><text x="500" y="128" fill="#86909C" text-anchor="middle">CAM++ 说话人分离</text><text x="500" y="142" fill="#86909C" text-anchor="middle">跨录音链接</text><rect width="120" height="60" x="580" y="90" fill="#E8F3FF" stroke="#165DFF" stroke-width="1.5" rx="8"/><text x="640" y="112" fill="#0E42D2" font-weight="700" text-anchor="middle">⑤ chunk 打包</text><text x="640" y="128" fill="#86909C" text-anchor="middle">按 token 预算打包</text><text x="640" y="142" fill="#86909C" text-anchor="middle">+ 三级溯源链</text><rect width="120" height="60" x="720" y="90" fill="#E8F3FF" stroke="#165DFF" stroke-width="1.5" rx="8"/><text x="780" y="112" fill="#0E42D2" font-weight="700" text-anchor="middle">⑥ bge-m3 向量</text><text x="780" y="128" fill="#86909C" text-anchor="middle">chunk → chunk_emb</text><text x="780" y="142" fill="#86909C" text-anchor="middle">→ MySQL vectors</text><rect width="120" height="60" x="860" y="90" fill="#E8F3FF" stroke="#165DFF" stroke-width="1.5" rx="8"/><text x="920" y="112" fill="#0E42D2" font-weight="700" text-anchor="middle">⑦ 实体抽取</text><text x="920" y="128" fill="#86909C" text-anchor="middle">中文 prompt（强 LLM）</text><text x="920" y="142" fill="#86909C" text-anchor="middle">+ Gleaning 补抽</text><rect width="120" height="60" x="20" y="200" fill="#E8F3FF" stroke="#165DFF" stroke-width="1.5" rx="8"/><text x="80" y="222" fill="#0E42D2" font-weight="700" text-anchor="middle">⑧ 向量编码</text><text x="80" y="238" fill="#86909C" text-anchor="middle">entity → entity_emb</text><text x="80" y="252" fill="#86909C" text-anchor="middle">→ MySQL vectors</text><rect width="120" height="60" x="160" y="200" fill="#E8F3FF" stroke="#165DFF" stroke-width="1.5" rx="8"/><text x="220" y="222" fill="#0E42D2" font-weight="700" text-anchor="middle">⑨ 图谱合并</text><text x="220" y="238" fill="#86909C" text-anchor="middle">按名字去重合并</text><text x="220" y="252" fill="#86909C" text-anchor="middle">类型 Counter 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text-anchor="middle">弱 LLM 判多级标签</text><text x="80" y="362" fill="#86909C" text-anchor="middle">输入 hash</text><rect width="120" height="60" x="160" y="310" fill="#FFF7E8" stroke="#FF7D00" stroke-width="1.5" rx="8"/><text x="220" y="332" fill="#7A4D00" font-weight="700" text-anchor="middle">⑯ tag_facts 🆕</text><text x="220" y="348" fill="#86909C" text-anchor="middle">append-only 写入</text><text x="220" y="362" fill="#86909C" text-anchor="middle">带 prompt_version</text><rect width="120" height="60" x="300" y="310" fill="#FFF7E8" stroke="#FF7D00" stroke-width="1.5" rx="8"/><text x="360" y="332" fill="#7A4D00" font-weight="700" text-anchor="middle">⑰ tag_current 🆕</text><text x="360" y="348" fill="#86909C" text-anchor="middle">MAX(version) 物化</text><text x="360" y="362" fill="#86909C" text-anchor="middle">查询读这个</text><rect width="120" height="60" x="440" y="310" fill="#FFF7E8" stroke="#FF7D00" stroke-width="1.5" rx="8"/><text x="500" y="332" fill="#7A4D00" font-weight="700" text-anchor="middle">⑱ tag_stats 🆕</text><text x="500" y="348" fill="#86909C" text-anchor="middle">增量聚合刷新</text><text x="500" y="362" fill="#86909C" text-anchor="middle">看板读这个</text><rect width="260" height="60" x="580" y="310" fill="#FFF1F0" stroke="#F53F3F" stroke-width="1.5" rx="8"/><text x="710" y="332" fill="#A8071A" font-weight="700" text-anchor="middle">✗ MiniCPM-V 视觉 caption（砍掉）</text><text x="710" y="348" fill="#86909C" text-anchor="middle">✗ ImageBind 多模态编码（砍掉）</text><text x="710" y="362" fill="#86909C" text-anchor="middle">✗ video_segment_feature_vdb 视觉检索通道（砍掉）</text><g fill="none" stroke-width="1.5"><line x1="140" x2="160" y1="120" y2="120" stroke="#165DFF" marker-end="url(#i-arrow)"/><line x1="280" x2="300" y1="120" y2="120" stroke="#165DFF" marker-end="url(#i-arrow)"/><line x1="420" x2="440" y1="120" y2="120" stroke="#722ED1" stroke-dasharray="3 2" marker-end="url(#i-arrow)"/><line x1="560" x2="580" y1="120" y2="120" stroke="#165DFF" marker-end="url(#i-arrow)"/><line x1="700" x2="720" y1="120" y2="120" stroke="#165DFF" marker-end="url(#i-arrow)"/><line x1="840" x2="860" y1="120" y2="120" stroke="#165DFF" marker-end="url(#i-arrow)"/><path stroke="#165DFF" marker-end="url(#i-arrow)" d="M920,150 L920,180 L80,180 L80,200"/><line x1="140" x2="160" y1="230" y2="230" stroke="#165DFF" marker-end="url(#i-arrow)"/><line x1="280" x2="300" y1="230" y2="230" stroke="#FF7D00" marker-end="url(#i-arrow)"/><line x1="420" x2="440" y1="230" y2="230" stroke="#165DFF" marker-end="url(#i-arrow)"/><line x1="560" x2="580" y1="230" y2="230" stroke="#165DFF" marker-end="url(#i-arrow)"/><line x1="700" x2="720" y1="230" y2="230" stroke="#165DFF" marker-end="url(#i-arrow)"/><line x1="840" x2="860" y1="230" y2="230" stroke="#165DFF" marker-end="url(#i-arrow)"/><path stroke="#FF7D00" marker-end="url(#i-arrow)" d="M920,260 L920,290 L80,290 L80,310"/><line x1="140" x2="160" y1="340" y2="340" stroke="#FF7D00" marker-end="url(#i-arrow)"/><line x1="280" x2="300" y1="340" y2="340" stroke="#FF7D00" marker-end="url(#i-arrow)"/><line x1="420" x2="440" y1="340" y2="340" stroke="#FF7D00" marker-end="url(#i-arrow)"/></g></g><g fill="#5B1DAB" font-size="10"><text x="220" y="172" text-anchor="middle">→ Silero</text><text x="360" y="172" text-anchor="middle">→ funASR</text><text x="500" y="172" text-anchor="middle">→ CAM++</text><text x="780" y="172" text-anchor="middle">→ bge-m3</text><text x="920" y="172" text-anchor="middle">→ Qwen3.6-27B</text><text x="80" y="282" text-anchor="middle">→ bge-m3</text><text x="80" y="392" text-anchor="middle">→ Qwen3.6-35B</text></g><rect width="960" height="120" x="20" y="420" fill="#F7F8FA" stroke="#E5E6EB" rx="8"/><text x="40" y="442" fill="#1D2129" font-size="12" font-weight="700">缓存与幂等（LLM Response Cache · 借鉴 Graphify 思路）</text><text x="40" y="462" fill="#4E5969" font-size="11">· key = MD5(model, messages) — 经 functools.partial 注入 best/cheap_model_func</text><text x="40" y="480" fill="#4E5969" font-size="11">· 覆盖：实体抽取 / gleaning / query 改写 / 摘要 / 关键词 / 段过滤 / 标签判定 / 最终回答</text><text x="40" y="498" fill="#4E5969" font-size="11">· 同 prompt 重跑全命中免费；prompt 升级 → 仅 dirty 重算（version-gate）→ diff → 增量聚合</text><text x="40" y="516" fill="#F53F3F" font-size="11">⚠ Phase 4 流式时需加锁或快照机制（VideoRAG 原生非并发安全）</text></svg>
\ No newline at end of file
diff --git a/docs/assets/dataflow-query.svg b/docs/assets/dataflow-query.svg
index 422cb0c..e8c1386 100644
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-  <text x="120" y="143" text-anchor="middle" font-size="10" fill="#86909C">"7月1-15日哪几场</text>
-  <text x="120" y="157" text-anchor="middle" font-size="10" fill="#86909C">接待提了 CS75 Plus</text>
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-  <text x="300" y="143" text-anchor="middle" font-size="10" fill="#86909C">弱 LLM</text>
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-  <text x="485" y="119" text-anchor="middle" font-size="10" fill="#86909C">MySQL vectors_mysql</text>
-  <text x="485" y="133" text-anchor="middle" font-size="10" fill="#86909C">暴力余弦 top-k chunk</text>
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-  <text x="485" y="199" text-anchor="middle" font-size="10" fill="#86909C">实体 → 一跳邻居</text>
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-  <rect x="400" y="240" width="170" height="60" rx="8" fill="#FFF1F0" stroke="#F53F3F" stroke-width="1.5" stroke-dasharray="4,3"/>
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-  <text x="485" y="279" text-anchor="middle" font-size="10" fill="#A8071A">已砍 — Level 2 换 CLAP</text>
-  <text x="485" y="293" text-anchor="middle" font-size="10" fill="#A8071A">音频嵌入（副语言）</text>
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-  <text x="60" y="460" font-size="11" fill="#4E5969">· 图谱浏览器：节点点击 → 右侧 EntityPropertyPanel（属性 + source_id + recorded_at + confidence 标签）</text>
-  <text x="60" y="478" font-size="11" fill="#4E5969">· 借鉴 Graphify：节点画布 + 双搜索框（关键词 + 实体定位）+ Leiden 社区着色 + 边 confidence 染色</text>
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\ No newline at end of file
diff --git a/docs/assets/eval-datasets.svg b/docs/assets/eval-datasets.svg
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--- a/docs/assets/eval-datasets.svg
+++ b/docs/assets/eval-datasets.svg
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-  <text x="500" y="32" text-anchor="middle" font-size="20" font-weight="700" fill="#1D2129">开源中文语音测试集选型（OSS Chinese Speech Testsets）</text>
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-  <text x="40" y="92" font-size="13" font-weight="700" fill="#1D2129">AudioRAG 评估能力</text>
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-  <!-- AliMeeting ★★★★★ -->
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-  <text x="55" y="234" font-size="11" fill="#4E5969">118.75h · 阿里 · ICASSP 2022 M2MeT · CC BY-SA 4.0</text>
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-  <text x="55" y="496" font-size="11" fill="#4E5969">真实对话场景（移动端）· 含打断/重复</text>
-  <text x="55" y="510" font-size="11" fill="#0E42D2"><tspan font-weight="700">→ 用途：</tspan> ASR CER 对话场景（比朗读更贴近门店）</text>
-  <text x="380" y="461" font-size="10" font-weight="700" fill="#5B1DAB">★★★</text>
-
-  <!-- CN-Celeb -->
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-  <text x="525" y="461" font-size="14" font-weight="700" fill="#5B1DAB">CN-Celeb · 声纹专用</text>
-  <text x="525" y="479" font-size="11" fill="#4E5969">~130h · 3000 说话人 · CC BY-NC 4.0</text>
-  <text x="525" y="496" font-size="11" fill="#4E5969">中文名人声纹，含不同录制环境/年龄/性别</text>
-  <text x="525" y="510" font-size="11" fill="#0E42D2"><tspan font-weight="700">→ 用途：</tspan> 声纹 EER 评估 · Phase 2 CAM++ 跨录音链接基线</text>
-  <text x="840" y="461" font-size="10" font-weight="700" fill="#5B1DAB">★★★</text>
-
-  <!-- TAL_CSASR + KeSpeech -->
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-  <text x="55" y="564" font-size="11" fill="#4E5969">· <tspan font-weight="700">TAL_CSASR</tspan>（学而思）— 中英混读，评估"CS75 Plus""Model Y"等中英夹杂识别</text>
-  <text x="55" y="581" font-size="11" fill="#4E5969">· <tspan font-weight="700">KeSpeech</tspan>（19723 句）— 8 大官话区方言，门店坐席/客户跨区域口音评估</text>
-  <text x="55" y="598" font-size="11" fill="#4E5969">· <tspan font-weight="700">自建门店金标集</tspan>（30-50 chunk）— 真实门店录音人工标注，最贴近业务但成本高 · 用作 A1 黄金集</text>
-</svg>
+<svg xmlns="http://www.w3.org/2000/svg" font-family="-apple-system, BlinkMacSystemFont, 'PingFang SC', 'Helvetica Neue', Arial, sans-serif" viewBox="0 0 1000 620"><defs><marker id="d-arrow" markerHeight="6" markerWidth="6" orient="auto" refX="9" refY="5" viewBox="0 0 10 10"><path fill="#165DFF" d="M0,0 L10,5 L0,10 z"/></marker></defs><rect width="1000" height="620" fill="#FAFBFC"/><text x="500" y="32" fill="#1D2129" font-size="20" font-weight="700" text-anchor="middle">开源中文语音测试集选型（OSS Chinese Speech Testsets）</text><text x="500" y="52" fill="#86909C" font-size="12" text-anchor="middle">按 AudioRAG 评估维度（ASR / Diarization / 声纹 / 实体抽取）映射 · 标 ★ 为强烈推荐</text><text x="40" y="92" fill="#1D2129" font-size="13" font-weight="700">AudioRAG 评估能力</text><rect width="920" height="48" x="40" y="105" fill="#F5E8FF" stroke="#722ED1" rx="8"/><g font-size="11"><rect width="170" height="28" x="55" y="115" fill="#FFF" stroke="#722ED1" rx="4"/><text x="140" y="133" fill="#5B1DAB" font-weight="700" text-anchor="middle">ASR CER（中文准确率）</text><rect width="170" height="28" x="240" y="115" fill="#FFF" stroke="#722ED1" rx="4"/><text x="325" y="133" fill="#5B1DAB" font-weight="700" text-anchor="middle">说话人分离 DER</text><rect width="170" height="28" x="425" y="115" fill="#FFF" stroke="#722ED1" rx="4"/><text x="510" y="133" fill="#5B1DAB" font-weight="700" text-anchor="middle">声纹 EER（跨录音链接）</text><rect width="170" height="28" x="610" y="115" fill="#FFF" stroke="#722ED1" rx="4"/><text x="695" y="133" fill="#5B1DAB" font-weight="700" text-anchor="middle">实体抽取 P/R/F1（下游）</text><rect width="150" height="28" x="795" y="115" fill="#FFF" stroke="#722ED1" rx="4"/><text x="870" y="133" fill="#5B1DAB" font-weight="700" text-anchor="middle">中英混读 / 方言</text></g><text x="40" y="180" fill="#1D2129" font-size="13" font-weight="700">推荐开源测试集（按推荐度排序）</text><rect width="920" height="75" x="40" y="195" fill="#E8FFEA" stroke="#00B42A" stroke-width="2" rx="8"/><text x="55" y="216" fill="#0F7A2E" font-size="14" font-weight="700">★ AliMeeting (SLR119) · 强烈推荐</text><text x="55" y="234" fill="#4E5969" font-size="11">118.75h · 阿里 · ICASSP 2022 M2MeT · CC BY-SA 4.0</text><text x="55" y="251" fill="#4E5969" font-size="11">场景：真实中文多人会议，2-4 说话人重叠 42%，远场 8-ch 麦阵列 + 近场耳机，13 个会议室 8-55m²，RT60 0.3-0.6s</text><text x="55" y="265" fill="#0E42D2" font-size="11"><tspan font-weight="700">→ 用途：</tspan> ASR CER + 说话人 DER（最贴近门店录音&quot;坐席+客户&quot;对话）· Phase 2/3 评估首选</text><text x="800" y="216" fill="#0F7A2E" font-size="10" font-weight="700">★★★★★</text><text x="800" y="234" fill="#4E5969" font-size="10">匹配度：极高</text><rect width="920" height="65" x="40" y="280" fill="#E8F3FF" stroke="#165DFF" stroke-width="1.5" rx="8"/><text x="55" y="301" fill="#0E42D2" font-size="14" font-weight="700">★ AISHELL-4</text><text x="55" y="319" fill="#4E5969" font-size="11">~120h · 希尔贝壳 · CC BY-NC-ND 4.0 · 8 通道会议</text><text x="55" y="335" fill="#4E5969" font-size="11">场景：真实会议录制，含重叠语音、自发口语，与 AliMeeting 互补（不同录制风格）</text><text x="55" y="350" fill="#0E42D2" font-size="11"><tspan font-weight="700">→ 用途：</tspan> 评估 ASR/DER 在不同声学条件下的鲁棒性，作为 AliMeeting 的对照</text><text x="800" y="301" fill="#0E42D2" font-size="10" font-weight="700">★★★★</text><text x="800" y="319" fill="#4E5969" font-size="10">匹配度：高</text><rect width="450" height="75" x="40" y="355" fill="#FFF7E8" stroke="#FF7D00" stroke-width="1.5" rx="8"/><text x="55" y="376" fill="#7A4D00" font-size="14" font-weight="700">★ WenetSpeech · test_meeting / test_net</text><text x="55" y="394" fill="#4E5969" font-size="11">22,195 段 · 西工大/wenet · CC BY 4.0</text><text x="55" y="411" fill="#4E5969" font-size="11">来源 YouTube + Podcast，10 个领域（含 talk/interview）</text><text x="55" y="425" fill="#0E42D2" font-size="11"><tspan font-weight="700">→ 用途：</tspan> ASR CER 基线（互联网/会议两域）</text><text x="380" y="376" fill="#FF7D00" font-size="10" font-weight="700">★★★★</text><rect width="450" height="75" x="510" y="355" fill="#FFF7E8" stroke="#FF7D00" stroke-width="1.5" rx="8"/><text x="525" y="376" fill="#7A4D00" font-size="14" font-weight="700">AISHELL-1 / AISHELL-2</text><text x="525" y="394" fill="#4E5969" font-size="11">AISHELL-1: 178h 朗读 · AISHELL-2: 1000h iOS 录制</text><text x="525" y="411" fill="#4E5969" font-size="11">CC BY-NC-ND 4.0 · 安静室内环境</text><text x="525" y="425" fill="#0E42D2" font-size="11"><tspan font-weight="700">→ 用途：</tspan> ASR CER 朗读基线（验证 funASR 在干净音频上限）</text><text x="840" y="376" fill="#FF7D00" font-size="10" font-weight="700">★★★</text><rect width="450" height="75" x="40" y="440" fill="#F5E8FF" stroke="#722ED1" stroke-width="1.5" rx="8"/><text x="55" y="461" fill="#5B1DAB" font-size="14" font-weight="700">MagicData RAMC</text><text x="55" y="479" fill="#4E5969" font-size="11">23012 测试句 · CC BY-NC-ND</text><text x="55" y="496" fill="#4E5969" font-size="11">真实对话场景（移动端）· 含打断/重复</text><text x="55" y="510" fill="#0E42D2" font-size="11"><tspan font-weight="700">→ 用途：</tspan> ASR CER 对话场景（比朗读更贴近门店）</text><text x="380" y="461" fill="#5B1DAB" font-size="10" font-weight="700">★★★</text><rect width="450" height="75" x="510" y="440" fill="#F5E8FF" stroke="#722ED1" stroke-width="1.5" rx="8"/><text x="525" y="461" fill="#5B1DAB" font-size="14" font-weight="700">CN-Celeb · 声纹专用</text><text x="525" y="479" fill="#4E5969" font-size="11">~130h · 3000 说话人 · CC BY-NC 4.0</text><text x="525" y="496" fill="#4E5969" font-size="11">中文名人声纹，含不同录制环境/年龄/性别</text><text x="525" y="510" fill="#0E42D2" font-size="11"><tspan font-weight="700">→ 用途：</tspan> 声纹 EER 评估 · Phase 2 CAM++ 跨录音链接基线</text><text x="840" y="461" fill="#5B1DAB" font-size="10" font-weight="700">★★★</text><rect width="920" height="80" x="40" y="525" fill="#FFF1F0" stroke="#F53F3F" stroke-dasharray="3 2" stroke-width="1.5" rx="8"/><text x="55" y="546" fill="#A8071A" font-size="14" font-weight="700">补充场景测试集（按需引入）</text><text x="55" y="564" fill="#4E5969" font-size="11">· <tspan font-weight="700">TAL_CSASR</tspan>（学而思）— 中英混读，评估&quot;CS75 Plus&quot;&quot;Model Y&quot;等中英夹杂识别</text><text x="55" y="581" fill="#4E5969" font-size="11">· <tspan font-weight="700">KeSpeech</tspan>（19723 句）— 8 大官话区方言，门店坐席/客户跨区域口音评估</text><text x="55" y="598" fill="#4E5969" font-size="11">· <tspan font-weight="700">自建门店金标集</tspan>（30-50 chunk）— 真实门店录音人工标注，最贴近业务但成本高 · 用作 A1 黄金集</text></svg>
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@@ -1,105 +1 @@
-<svg viewBox="0 0 1000 560" xmlns="http://www.w3.org/2000/svg" font-family="-apple-system, BlinkMacSystemFont, 'PingFang SC', 'Helvetica Neue', Arial, sans-serif">
-  <rect width="1000" height="560" fill="#FAFBFC"/>
-  <text x="500" y="32" text-anchor="middle" font-size="20" font-weight="700" fill="#1D2129">存储分层（Storage Layers）</text>
-  <text x="500" y="52" text-anchor="middle" font-size="12" fill="#86909C">VideoRAG 文件索引（复用） + MySQL 状态层（新增） + BaseStorage 抽象让三类存储可插拔</text>
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-  <!-- 上半：抽象层 -->
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-  <text x="260" y="220" text-anchor="middle" font-size="10" fill="#4E5969">orchestration · version · audit · aggregation · vectors (Phase 1)</text>
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-  <text x="60" y="267" font-size="9" font-family="ui-monospace, Menlo, monospace" fill="#86909C">id·path·tenant_id·status</text>
-  <text x="60" y="280" font-size="9" font-family="ui-monospace, Menlo, monospace" fill="#86909C">pipeline_state·recorded_at</text>
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-  <text x="270" y="267" font-size="9" font-family="ui-monospace, Menlo, monospace" fill="#86909C">id·recording_id·idx·start·end</text>
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-  <text x="750" y="460" font-size="9" fill="#A8071A">Level 2 → CLAP 音频嵌入</text>
-
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-  <text x="540" y="508" font-size="9" fill="#86909C">默认每次新建时间戳目录不复用；固定后 insert_video 按 video_name 跨次去重生效</text>
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+<svg xmlns="http://www.w3.org/2000/svg" font-family="-apple-system, BlinkMacSystemFont, 'PingFang SC', 'Helvetica Neue', Arial, sans-serif" viewBox="0 0 1000 560"><rect width="1000" height="560" fill="#FAFBFC"/><text x="500" y="32" fill="#1D2129" font-size="20" font-weight="700" text-anchor="middle">存储分层（Storage Layers）</text><text x="500" y="52" fill="#86909C" font-size="12" text-anchor="middle">VideoRAG 文件索引（复用） + MySQL 状态层（新增） + BaseStorage 抽象让三类存储可插拔</text><rect width="940" height="80" x="30" y="80" fill="#F5E8FF" stroke="#722ED1" stroke-width="1.5" rx="8"/><text x="500" y="103" fill="#5B1DAB" font-size="13" font-weight="700" text-anchor="middle">BaseStorage 抽象层（VideoRAG 提供，AudioRAG 直接复用）</text><rect width="280" height="35" x="60" y="115" fill="#FFF" stroke="#722ED1" rx="4"/><text x="200" y="138" fill="#1D2129" font-size="11" font-weight="600" text-anchor="middle">BaseKVStorage（字典语义）</text><rect width="280" height="35" x="360" y="115" fill="#FFF" stroke="#722ED1" rx="4"/><text x="500" y="138" fill="#1D2129" font-size="11" font-weight="600" text-anchor="middle">BaseVectorStorage（ANN 语义）</text><rect width="280" height="35" x="660" y="115" fill="#FFF" stroke="#722ED1" rx="4"/><text x="800" y="138" fill="#1D2129" font-size="11" font-weight="600" text-anchor="middle">BaseGraphStorage（图遍历语义）</text><rect width="460" height="350" x="30" y="180" fill="#E8F3FF" stroke="#165DFF" stroke-width="2" rx="8"/><text x="260" y="203" fill="#0E42D2" font-size="14" font-weight="700" text-anchor="middle">MySQL 状态层（新增）</text><text x="260" y="220" fill="#4E5969" font-size="10" text-anchor="middle">orchestration · version · audit · aggregation · vectors (Phase 1)</text><rect width="200" height="55" x="50" y="235" fill="#FFF" stroke="#165DFF" rx="4"/><text x="60" y="252" fill="#1D2129" font-size="11" font-weight="700">recordings</text><text x="60" y="267" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">id·path·tenant_id·status</text><text x="60" y="280" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">pipeline_state·recorded_at</text><rect width="220" height="55" x="260" y="235" fill="#FFF" stroke="#165DFF" rx="4"/><text x="270" y="252" fill="#1D2129" font-size="11" font-weight="700">segments</text><text x="270" y="267" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">id·recording_id·idx·start·end</text><text x="270" y="280" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">transcript·speaker·vad_conf</text><rect width="200" height="55" x="50" y="300" fill="#FFF" stroke="#165DFF" rx="4"/><text x="60" y="317" fill="#1D2129" font-size="11" font-weight="700">chunks</text><text x="60" y="332" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">id·segment_ids[]·text·token_n</text><text x="60" y="345" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">content_hash（去重）</text><rect width="220" height="55" x="260" y="300" fill="#FFF1F0" stroke="#F53F3F" rx="4"/><text x="270" y="317" fill="#A8071A" font-size="11" font-weight="700">tag_facts ★</text><text x="270" y="332" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">rec_id·tag_path·value·version</text><text x="270" y="345" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">prompt_version·input_hash·src</text><rect width="200" height="55" x="50" y="365" fill="#E8FFEA" stroke="#00B42A" rx="4"/><text x="60" y="382" fill="#0F7A2E" font-size="11" font-weight="700">tag_current（视图）</text><text x="60" y="397" fill="#86909C" font-size="9">SELECT MAX(version) GROUP BY</text><text x="60" y="410" fill="#86909C" font-size="9">(recording_id, tag_path)</text><rect width="220" height="55" x="260" y="365" fill="#E8FFEA" stroke="#00B42A" rx="4"/><text x="270" y="382" fill="#0F7A2E" font-size="11" font-weight="700">tag_stats（物化）</text><text x="270" y="397" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">tenant·store·tag_path·value·cnt</text><text x="270" y="410" fill="#86909C" font-size="9">增量 delta 刷新</text><rect width="430" height="40" x="50" y="430" fill="#FFF7E8" stroke="#FF7D00" rx="4"/><text x="60" y="447" fill="#7A4D00" font-size="11" font-weight="700">vectors_mysql（Phase 1 暴力余弦）</text><text x="60" y="462" fill="#86909C" font-family="ui-monospace, Menlo, monospace" font-size="9">entity_emb / chunk_emb · 10⁵-10⁶ 行 · 小规模与 NanoVectorDB 等价</text><rect width="430" height="40" x="50" y="480" fill="#F7F8FA" stroke="#E5E6EB" rx="4"/><text x="60" y="497" fill="#1D2129" font-size="10" font-weight="700">tenants · users · roles · prompts · audit_logs · llm_call_logs</text><text x="60" y="512" fill="#86909C" font-size="9">多租户 RBAC · prompt_version 注册 · 审计</text><rect width="460" height="350" x="510" y="180" fill="#E8FFEA" stroke="#00B42A" stroke-width="2" rx="8"/><text x="740" y="203" fill="#0F7A2E" font-size="14" font-weight="700" text-anchor="middle">VideoRAG 文件索引（复用）</text><text x="740" y="220" fill="#4E5969" font-size="10" text-anchor="middle">working_dir 持久化 · index_done_callback flush · 跨次复用</text><rect width="200" height="50" x="530" y="235" fill="#FFF" stroke="#00B42A" rx="4"/><text x="540" y="252" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10" font-weight="700">kv_store_video_path.json</text><text x="540" y="268" fill="#86909C" font-size="9">recording → path 映射</text><text x="540" y="280" fill="#86909C" font-size="9">去重依据</text><rect width="220" height="50" x="740" y="235" fill="#FFF" stroke="#00B42A" rx="4"/><text x="750" y="252" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10" font-weight="700">kv_store_video_segments.json</text><text x="750" y="268" fill="#86909C" font-size="9">段级 transcript·timestamp</text><text x="750" y="280" fill="#86909C" font-size="9">·recorded_at·speaker</text><rect width="200" height="50" x="530" y="295" fill="#FFF" stroke="#00B42A" rx="4"/><text 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实体/关系/社区</text><text x="540" y="400" fill="#86909C" font-size="9">+ confidence（EXTRACTED/INFERRED，借鉴 Graphify）</text><rect width="200" height="50" x="530" y="415" fill="#F7F8FA" stroke="#E5E6EB" rx="4"/><text x="540" y="432" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10" font-weight="700">vdb_entities / vdb_chunks</text><text x="540" y="448" fill="#86909C" font-size="9">Phase 1 走 MySQL（同义）</text><text x="540" y="460" fill="#86909C" font-size="9">Phase 3 可切 NanoVectorDB/HNSW</text><rect width="220" height="50" x="740" y="415" fill="#FFF1F0" stroke="#F53F3F" stroke-dasharray="3 2" stroke-width="1.5" rx="4"/><text x="750" y="432" fill="#A8071A" font-family="ui-monospace, Menlo, monospace" font-size="10" font-weight="700">vdb_video_segment_feature.json ✗</text><text x="750" y="448" fill="#A8071A" font-size="9">视觉检索通道（砍掉）</text><text x="750" y="460" fill="#A8071A" font-size="9">Level 2 → CLAP 音频嵌入</text><rect width="430" height="45" x="530" y="475" fill="#FFF7E8" 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diff --git a/docs/assets/tag-versioning.svg b/docs/assets/tag-versioning.svg
index b376e14..d6635aa 100644
--- a/docs/assets/tag-versioning.svg
+++ b/docs/assets/tag-versioning.svg
@@ -1,102 +1 @@
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-  <defs>
-    <marker id="t-arrow" viewBox="0 0 10 10" refX="9" refY="5" markerWidth="6" markerHeight="6" orient="auto"><path d="M0,0 L10,5 L0,10 z" fill="#165DFF"/></marker>
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-  <rect width="1000" height="540" fill="#FAFBFC"/>
-  <text x="500" y="32" text-anchor="middle" font-size="20" font-weight="700" fill="#1D2129">标签版本化与增量重算（Tag Versioning &amp; Incremental Recompute）</text>
-  <text x="500" y="52" text-anchor="middle" font-size="12" fill="#86909C">版本是地基 · diff 驱动最小重算 · LLM 缓存驱动的幂等重打</text>
-
-  <!-- Layer 1: tag_facts -->
-  <rect x="30" y="80" width="280" height="290" rx="8" fill="#FFF1F0" stroke="#F53F3F" stroke-width="1.5"/>
-  <text x="170" y="103" text-anchor="middle" font-size="13" font-weight="700" fill="#A8071A">Layer 1 · tag_facts</text>
-  <text x="170" y="120" text-anchor="middle" font-size="10" fill="#86909C">append-only · 不可变 · 版本化真相源</text>
-
-  <rect x="45" y="135" width="250" height="100" rx="4" fill="#FFFFFF" stroke="#F53F3F"/>
-  <text x="55" y="153" font-size="10" font-weight="700" fill="#1D2129">(recording_id, tag_path, value, version, ...)</text>
-  <text x="55" y="172" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#0F7A2E">(R001, 接待.开场, 标准, v=1,</text>
-  <text x="55" y="187" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#0F7A2E"> prompt_v=1, hash=abc..., src=llm)</text>
-  <text x="55" y="207" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#165DFF">(R001, 接待.开场, 标准, v=2,</text>
-  <text x="55" y="222" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#165DFF"> prompt_v=2, hash=def..., src=llm)</text>
-
-  <rect x="45" y="245" width="250" height="60" rx="4" fill="#FFF7E8" stroke="#FF7D00"/>
-  <text x="55" y="263" font-size="10" font-weight="700" fill="#7A4D00">关键键：prompt_version</text>
-  <text x="55" y="280" font-size="10" fill="#86909C">回答"此标签在什么规则下判出来"</text>
-  <text x="55" y="294" font-size="10" fill="#86909C">据此圈 dirty · diff · 复现任意版本</text>
-
-  <rect x="45" y="315" width="250" height="45" rx="4" fill="#F7F8FA" stroke="#E5E6EB"/>
-  <text x="55" y="332" font-size="10" fill="#4E5969">完整配方字段：</text>
-  <text x="55" y="346" font-size="9" font-family="ui-monospace, Menlo, monospace" fill="#4E5969">value·prompt_version·model_version·source·input_hash·confidence</text>
-
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-  <rect x="340" y="80" width="280" height="290" rx="8" fill="#E8F3FF" stroke="#165DFF" stroke-width="1.5"/>
-  <text x="480" y="103" text-anchor="middle" font-size="13" font-weight="700" fill="#0E42D2">Layer 2 · tag_current</text>
-  <text x="480" y="120" text-anchor="middle" font-size="10" fill="#86909C">当前生效视图 · MAX(version) per (rec, tag_path)</text>
-
-  <rect x="355" y="135" width="250" height="100" rx="4" fill="#FFFFFF" stroke="#165DFF"/>
-  <text x="365" y="155" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">R001 · 接待.开场    = 标准   [v2]</text>
-  <text x="365" y="172" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">R001 · 接待.报价    = 已报   [v2]</text>
-  <text x="365" y="189" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">R001 · 接待.试乘试驾 = 未试   [v1]</text>
-  <text x="365" y="206" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">R002 · 接待.开场    = 简洁   [v2]</text>
-  <text x="365" y="223" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">...</text>
-
-  <rect x="355" y="245" width="250" height="60" rx="4" fill="#F7F8FA" stroke="#E5E6EB"/>
-  <text x="365" y="263" font-size="10" font-weight="700" fill="#1D2129">查询语义</text>
-  <text x="365" y="280" font-size="10" fill="#86909C">SELECT ... FROM tag_facts</text>
-  <text x="365" y="294" font-size="10" fill="#86909C">WHERE version = (SELECT MAX(version) ...)</text>
-
-  <rect x="355" y="315" width="250" height="45" rx="4" fill="#E8FFEA" stroke="#00B42A"/>
-  <text x="365" y="332" font-size="10" font-weight="700" fill="#0F7A2E">物化策略</text>
-  <text x="365" y="346" font-size="10" fill="#86909C">触发器 / 定时刷新 / 查询时算</text>
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-  <!-- Layer 3: tag_stats -->
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-  <text x="810" y="103" text-anchor="middle" font-size="13" font-weight="700" fill="#0F7A2E">Layer 3 · tag_stats（物化聚合）</text>
-  <text x="810" y="120" text-anchor="middle" font-size="10" fill="#86909C">多级标签计数/分布 · 增量刷新 · 报表/看板读这个</text>
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-  <rect x="665" y="135" width="290" height="100" rx="4" fill="#FFFFFF" stroke="#00B42A"/>
-  <text x="675" y="153" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">tenant · store · tag_path · value · count</text>
-  <text x="675" y="170" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">华东 · 上海店 · 接待.开场=标准  → 42</text>
-  <text x="675" y="187" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">华东 · 上海店 · 接待.开场=简洁  → 18</text>
-  <text x="675" y="204" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">华东 · 杭州店 · 接待.开场=标准  → 35</text>
-  <text x="675" y="221" font-size="10" font-family="ui-monospace, Menlo, monospace" fill="#1D2129">华南 · 深圳店 · 接待.试乘试驾=已 → 28</text>
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-  <text x="675" y="263" font-size="10" font-weight="700" fill="#1D2129">增量刷新</text>
-  <text x="675" y="280" font-size="10" fill="#86909C">tag_current 变化 → 找祖先链 → tag_stats</text>
-  <text x="675" y="294" font-size="10" fill="#86909C">-old +new delta（不全量重算）</text>
-
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-  <text x="675" y="332" font-size="10" font-weight="700" fill="#7A4D00">下钻维度</text>
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-  <text x="325" y="170" text-anchor="middle" font-size="9" fill="#A8071A">聚合</text>
-  <text x="635" y="170" text-anchor="middle" font-size="9" fill="#0E42D2">下钻/统计</text>
-
-  <!-- 重算策略矩阵 -->
-  <text x="500" y="400" text-anchor="middle" font-size="14" font-weight="700" fill="#1D2129">重算策略矩阵（Recompute Strategy Matrix）</text>
-
-  <rect x="30" y="420" width="940" height="110" rx="8" fill="#F7F8FA" stroke="#E5E6EB"/>
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-    <text x="40" y="442" font-weight="700">单条人工修正</text>
-    <text x="40" y="458" fill="#86909C">1 条 recording · 增量 delta（−旧 +新）· 标脏祖先路径</text>
-
-    <text x="40" y="478" font-weight="700">prompt/规则升级（批量重打）</text>
-    <text x="40" y="494" fill="#86909C">version-gate：重打→diff v2 vs v1→只 commit 变化→标 dirty→增量聚合</text>
-
-    <text x="40" y="514" font-weight="700">滞后数据到达</text>
-    <text x="40" y="530" fill="#86909C">仅重算该 time_window 的聚合</text>
-
-    <text x="500" y="442" font-weight="700">分类法/层级变更</text>
-    <text x="500" y="458" fill="#86909C">全量重算（切新 version · 罕见批跑）</text>
-
-    <text x="500" y="478" font-weight="700">LLM 缓存驱动的幂等重打（关键福利）</text>
-    <text x="500" y="494" fill="#0F7A2E">同 prompt 重打 → MD5(model,messages) 命中缓存 → 0 token → 免费</text>
-    <text x="500" y="514" fill="#0F7A2E">改 prompt 重打 → 仅新 prompt 重算 · diff 再压"真变化"</text>
-    <text x="500" y="530" fill="#F53F3F">⚠ cache 文件膨胀 → 定期清/切工作目录</text>
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+<svg xmlns="http://www.w3.org/2000/svg" font-family="-apple-system, BlinkMacSystemFont, 'PingFang SC', 'Helvetica Neue', Arial, sans-serif" viewBox="0 0 1000 540"><defs><marker id="t-arrow" markerHeight="6" markerWidth="6" orient="auto" refX="9" refY="5" viewBox="0 0 10 10"><path fill="#165DFF" d="M0,0 L10,5 L0,10 z"/></marker><marker id="t-arrow-orange" markerHeight="6" markerWidth="6" orient="auto" refX="9" refY="5" viewBox="0 0 10 10"><path fill="#FF7D00" d="M0,0 L10,5 L0,10 z"/></marker></defs><rect width="1000" height="540" fill="#FAFBFC"/><text x="500" y="32" fill="#1D2129" font-size="20" font-weight="700" text-anchor="middle">标签版本化与增量重算（Tag Versioning &amp; Incremental Recompute）</text><text x="500" y="52" fill="#86909C" font-size="12" text-anchor="middle">版本是地基 · diff 驱动最小重算 · LLM 缓存驱动的幂等重打</text><rect width="280" height="290" x="30" y="80" fill="#FFF1F0" stroke="#F53F3F" stroke-width="1.5" rx="8"/><text x="170" y="103" fill="#A8071A" font-size="13" font-weight="700" text-anchor="middle">Layer 1 · tag_facts</text><text x="170" y="120" fill="#86909C" font-size="10" text-anchor="middle">append-only · 不可变 · 版本化真相源</text><rect width="250" height="100" x="45" y="135" fill="#FFF" stroke="#F53F3F" rx="4"/><text x="55" y="153" fill="#1D2129" font-size="10" font-weight="700">(recording_id, tag_path, value, version, ...)</text><text x="55" y="172" fill="#0F7A2E" font-family="ui-monospace, Menlo, monospace" font-size="10">(R001, 接待.开场, 标准, v=1,</text><text x="55" y="187" fill="#0F7A2E" font-family="ui-monospace, Menlo, monospace" font-size="10">prompt_v=1, hash=abc..., src=llm)</text><text x="55" y="207" fill="#165DFF" font-family="ui-monospace, Menlo, monospace" font-size="10">(R001, 接待.开场, 标准, v=2,</text><text x="55" y="222" fill="#165DFF" font-family="ui-monospace, Menlo, monospace" font-size="10">prompt_v=2, hash=def..., src=llm)</text><rect width="250" height="60" x="45" y="245" fill="#FFF7E8" stroke="#FF7D00" rx="4"/><text x="55" y="263" fill="#7A4D00" font-size="10" font-weight="700">关键键：prompt_version</text><text x="55" y="280" fill="#86909C" font-size="10">回答&quot;此标签在什么规则下判出来&quot;</text><text x="55" y="294" fill="#86909C" font-size="10">据此圈 dirty · diff · 复现任意版本</text><rect width="250" height="45" x="45" y="315" fill="#F7F8FA" stroke="#E5E6EB" rx="4"/><text x="55" y="332" fill="#4E5969" font-size="10">完整配方字段：</text><text x="55" y="346" fill="#4E5969" font-family="ui-monospace, Menlo, monospace" font-size="9">value·prompt_version·model_version·source·input_hash·confidence</text><rect width="280" height="290" x="340" y="80" fill="#E8F3FF" stroke="#165DFF" stroke-width="1.5" rx="8"/><text x="480" y="103" fill="#0E42D2" font-size="13" font-weight="700" text-anchor="middle">Layer 2 · tag_current</text><text x="480" y="120" fill="#86909C" font-size="10" text-anchor="middle">当前生效视图 · MAX(version) per (rec, tag_path)</text><rect width="250" height="100" x="355" y="135" fill="#FFF" stroke="#165DFF" rx="4"/><text x="365" y="155" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">R001 · 接待.开场 = 标准 [v2]</text><text x="365" y="172" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">R001 · 接待.报价 = 已报 [v2]</text><text x="365" y="189" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">R001 · 接待.试乘试驾 = 未试 [v1]</text><text x="365" y="206" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">R002 · 接待.开场 = 简洁 [v2]</text><text x="365" y="223" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">...</text><rect width="250" height="60" x="355" y="245" fill="#F7F8FA" stroke="#E5E6EB" rx="4"/><text x="365" y="263" fill="#1D2129" font-size="10" font-weight="700">查询语义</text><text x="365" y="280" fill="#86909C" font-size="10">SELECT ... FROM tag_facts</text><text x="365" y="294" fill="#86909C" font-size="10">WHERE version = (SELECT MAX(version) ...)</text><rect width="250" height="45" x="355" y="315" fill="#E8FFEA" stroke="#00B42A" rx="4"/><text x="365" y="332" fill="#0F7A2E" font-size="10" font-weight="700">物化策略</text><text x="365" y="346" fill="#86909C" font-size="10">触发器 / 定时刷新 / 查询时算</text><rect width="320" height="290" x="650" y="80" fill="#E8FFEA" stroke="#00B42A" stroke-width="1.5" rx="8"/><text x="810" y="103" fill="#0F7A2E" font-size="13" font-weight="700" text-anchor="middle">Layer 3 · tag_stats（物化聚合）</text><text x="810" y="120" fill="#86909C" font-size="10" text-anchor="middle">多级标签计数/分布 · 增量刷新 · 报表/看板读这个</text><rect width="290" height="100" x="665" y="135" fill="#FFF" stroke="#00B42A" rx="4"/><text x="675" y="153" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">tenant · store · tag_path · value · count</text><text x="675" y="170" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">华东 · 上海店 · 接待.开场=标准 → 42</text><text x="675" y="187" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">华东 · 上海店 · 接待.开场=简洁 → 18</text><text x="675" y="204" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">华东 · 杭州店 · 接待.开场=标准 → 35</text><text x="675" y="221" fill="#1D2129" font-family="ui-monospace, Menlo, monospace" font-size="10">华南 · 深圳店 · 接待.试乘试驾=已 → 28</text><rect width="290" height="60" x="665" y="245" fill="#F7F8FA" stroke="#E5E6EB" rx="4"/><text x="675" y="263" fill="#1D2129" font-size="10" font-weight="700">增量刷新</text><text x="675" y="280" fill="#86909C" font-size="10">tag_current 变化 → 找祖先链 → tag_stats</text><text x="675" y="294" fill="#86909C" font-size="10">-old +new delta（不全量重算）</text><rect width="290" height="45" x="665" y="315" fill="#FFF7E8" stroke="#FF7D00" rx="4"/><text x="675" y="332" fill="#7A4D00" font-size="10" font-weight="700">下钻维度</text><text x="675" y="346" fill="#86909C" font-size="10">tenant → brand → region → store → agent → tag_path</text><line x1="310" x2="340" y1="180" y2="180" stroke="#F53F3F" stroke-width="2" marker-end="url(#t-arrow)"/><line x1="620" x2="650" y1="180" y2="180" stroke="#165DFF" stroke-width="2" marker-end="url(#t-arrow)"/><text x="325" y="170" fill="#A8071A" font-size="9" text-anchor="middle">聚合</text><text x="635" y="170" fill="#0E42D2" font-size="9" text-anchor="middle">下钻/统计</text><text x="500" y="400" fill="#1D2129" font-size="14" font-weight="700" text-anchor="middle">重算策略矩阵（Recompute Strategy Matrix）</text><rect width="940" height="110" x="30" y="420" fill="#F7F8FA" stroke="#E5E6EB" rx="8"/><g fill="#1D2129" font-size="10"><text x="40" y="442" font-weight="700">单条人工修正</text><text x="40" y="458" fill="#86909C">1 条 recording · 增量 delta（−旧 +新）· 标脏祖先路径</text><text x="40" y="478" font-weight="700">prompt/规则升级（批量重打）</text><text x="40" y="494" fill="#86909C">version-gate：重打→diff v2 vs v1→只 commit 变化→标 dirty→增量聚合</text><text x="40" y="514" font-weight="700">滞后数据到达</text><text x="40" y="530" fill="#86909C">仅重算该 time_window 的聚合</text><text x="500" y="442" font-weight="700">分类法/层级变更</text><text x="500" y="458" fill="#86909C">全量重算（切新 version · 罕见批跑）</text><text x="500" y="478" font-weight="700">LLM 缓存驱动的幂等重打（关键福利）</text><text x="500" y="494" fill="#0F7A2E">同 prompt 重打 → MD5(model,messages) 命中缓存 → 0 token → 免费</text><text x="500" y="514" fill="#0F7A2E">改 prompt 重打 → 仅新 prompt 重算 · diff 再压&quot;真变化&quot;</text><text x="500" y="530" fill="#F53F3F">⚠ cache 文件膨胀 → 定期清/切工作目录</text></g></svg>
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