diff --git a/rag/LightRAG-deepseek/lightrag/api/routers/graph_routes.py b/rag/LightRAG-deepseek/lightrag/api/routers/graph_routes.py
index f02779d..7023b6a 100644
--- a/rag/LightRAG-deepseek/lightrag/api/routers/graph_routes.py
+++ b/rag/LightRAG-deepseek/lightrag/api/routers/graph_routes.py
@@ -2,7 +2,7 @@
 This module contains all graph-related routes for the LightRAG API.
 """
 
-from typing import Optional, Dict, Any
+from typing import Optional, Dict, Any, List
 import traceback
 from fastapi import APIRouter, Depends, Query, HTTPException
 from pydantic import BaseModel
@@ -170,4 +170,49 @@ def create_graph_routes(rag, api_key: Optional[str] = None):
                 status_code=500, detail=f"Error updating relation: {str(e)}"
             )
 
+    @router.get("/graphs/note", dependencies=[Depends(combined_auth)])
+    async def get_knowledge_graph_note(
+        label: str = Query(..., description="Label to get knowledge graph for"),
+        max_depth: int = Query(3, description="Maximum depth of graph", ge=1),
+        max_nodes: int = Query(1000, description="Maximum nodes to return", ge=1),
+        note_ids: List[str] = Query(
+        ..., 
+        description="List of note IDs to get knowledge graph for",
+        example=["file1.txt", "file2.docx", "file3.pdf"]
+    ),
+    ):
+        """
+        Retrieve a connected subgraph of nodes where the label includes the specified label.
+        When reducing the number of nodes, the prioritization criteria are as follows:
+            1. Hops(path) to the staring node take precedence
+            2. Followed by the degree of the nodes
+
+        Args:
+            label (str): Label of the starting node
+            max_depth (int, optional): Maximum depth of the subgraph,Defaults to 3
+            max_nodes: Maxiumu nodes to return
+            note_ids: List of note ids to filter nodes by
+
+        Returns:
+            Dict[str, List[str]]: Knowledge graph for label
+        """
+        try:
+            return await rag.get_knowledge_graph_note(
+                node_label=label,
+                max_depth=max_depth,
+                max_nodes=max_nodes,
+                note_ids=note_ids,
+            )
+        except Exception as e:
+            logger.error(f"Error getting knowledge graph for label '{label}': {str(e)}")
+            logger.error(traceback.format_exc())
+            raise HTTPException(
+                status_code=500, detail=f"Error getting knowledge graph: {str(e)}"
+            )
+
+
+
+
     return router
+
+
diff --git a/rag/LightRAG-deepseek/lightrag/kg/neo4j_impl.py b/rag/LightRAG-deepseek/lightrag/kg/neo4j_impl.py
index 9e0aa1c..56373bc 100644
--- a/rag/LightRAG-deepseek/lightrag/kg/neo4j_impl.py
+++ b/rag/LightRAG-deepseek/lightrag/kg/neo4j_impl.py
@@ -1,7 +1,7 @@
 import os
 import re
 from dataclasses import dataclass
-from typing import final
+from typing import final, Optional
 import configparser
 
 
@@ -1214,6 +1214,232 @@ class Neo4JStorage(BaseGraphStorage):
                     )
 
         return result
+    async def get_knowledge_graph_note(
+        self,
+        node_label: str,
+        max_depth: int = 3,
+        max_nodes: int = None,
+        note_ids: Optional[list[str]] = None,
+    ) -> KnowledgeGraph:
+        """
+        Retrieve a connected subgraph of nodes where the label includes the specified `node_label`.
+
+        Args:
+            node_label: Label of the starting node, * means all nodes
+            max_depth: Maximum depth of the subgraph, Defaults to 3
+            max_nodes: Maxiumu nodes to return by BFS, Defaults to 1000
+            note_ids: List of note ids to filter nodes by
+
+        Returns:
+            KnowledgeGraph object containing nodes and edges, with an is_truncated flag
+            indicating whether the graph was truncated due to max_nodes limit
+        """
+        # Get max_nodes from global_config if not provided
+        if max_nodes is None:
+            max_nodes = self.global_config.get("max_graph_nodes", 1000)
+        else:
+            # Limit max_nodes to not exceed global_config max_graph_nodes
+            max_nodes = min(max_nodes, self.global_config.get("max_graph_nodes", 1000))
+
+        workspace_label = self._get_workspace_label()
+        result = KnowledgeGraph()
+        seen_nodes = set()
+        seen_edges = set()
+
+        async with self._driver.session(
+            database=self._DATABASE, default_access_mode="READ"
+        ) as session:
+            try:
+                if node_label == "*":
+                    # First check total node count to determine if graph is truncated
+                    count_query = (
+                        f"""
+                        MATCH (n:`{workspace_label}`)
+                        WHERE $note_ids IS NULL OR n.file_path IN $note_ids
+                        RETURN count(n) as total
+                        """
+                    )
+                    count_result = None
+                    try:
+                        count_result = await session.run(count_query,{"note_ids": note_ids})
+                        count_record = await count_result.single()
+
+                        if count_record and count_record["total"] > max_nodes:
+                            result.is_truncated = True
+                            logger.info(
+                                f"Graph truncated: {count_record['total']} nodes found, limited to {max_nodes}"
+                            )
+                    finally:
+                        if count_result:
+                            await count_result.consume()
+
+                    # Run main query to get nodes with highest degree
+                    main_query = f"""
+                    MATCH (n:`{workspace_label}`)
+                    WHERE $note_ids IS NULL OR n.file_path IN $note_ids
+                    OPTIONAL MATCH (n)-[r]-()
+                    WITH n, COALESCE(count(r), 0) AS degree
+                    ORDER BY degree DESC
+                    LIMIT $max_nodes
+                    WITH collect({{node: n}}) AS filtered_nodes
+                    UNWIND filtered_nodes AS node_info
+                    WITH collect(node_info.node) AS kept_nodes, filtered_nodes
+                    OPTIONAL MATCH (a)-[r]-(b)
+                    WHERE a IN kept_nodes AND b IN kept_nodes
+                    RETURN filtered_nodes AS node_info,
+                           collect(DISTINCT r) AS relationships
+                    """
+                    result_set = None
+                    try:
+                        result_set = await session.run(
+                            main_query,
+                            {"max_nodes": max_nodes,
+                             "note_ids": note_ids},
+                        )
+                        record = await result_set.single()
+                    finally:
+                        if result_set:
+                            await result_set.consume()
+
+                else:
+                    # return await self._robust_fallback(node_label, max_depth, max_nodes)
+                    # First try without limit to check if we need to truncate
+                    full_query = f"""
+                    MATCH (start:`{workspace_label}`)
+                    WHERE start.entity_id = $entity_id
+                    WITH start
+                    CALL apoc.path.subgraphAll(start, {{
+                        relationshipFilter: '',
+                        labelFilter: '{workspace_label}',
+                        minLevel: 0,
+                        maxLevel: $max_depth,
+                        bfs: true
+                    }})
+                    YIELD nodes, relationships
+                    WITH nodes, relationships, size(nodes) AS total_nodes
+                    UNWIND nodes AS node
+                    WITH collect({{node: node}}) AS node_info, relationships, total_nodes
+                    RETURN node_info, relationships, total_nodes
+                    """
+
+                    # Try to get full result
+                    full_result = None
+                    try:
+                        full_result = await session.run(
+                            full_query,
+                            {
+                                "entity_id": node_label,
+                                "max_depth": max_depth,
+                            },
+                        )
+                        full_record = await full_result.single()
+
+                        # If no record found, return empty KnowledgeGraph
+                        if not full_record:
+                            logger.debug(f"No nodes found for entity_id: {node_label}")
+                            return result
+
+                        # If record found, check node count
+                        total_nodes = full_record["total_nodes"]
+
+                        if total_nodes <= max_nodes:
+                            # If node count is within limit, use full result directly
+                            logger.debug(
+                                f"Using full result with {total_nodes} nodes (no truncation needed)"
+                            )
+                            record = full_record
+                        else:
+                            # If node count exceeds limit, set truncated flag and run limited query
+                            result.is_truncated = True
+                            logger.info(
+                                f"Graph truncated: {total_nodes} nodes found, breadth-first search limited to {max_nodes}"
+                            )
+
+                            # Run limited query
+                            limited_query = f"""
+                            MATCH (start:`{workspace_label}`)
+                            WHERE start.entity_id = $entity_id
+                            WITH start
+                            CALL apoc.path.subgraphAll(start, {{
+                                relationshipFilter: '',
+                                labelFilter: '{workspace_label}',
+                                minLevel: 0,
+                                maxLevel: $max_depth,
+                                limit: $max_nodes,
+                                bfs: true
+                            }})
+                            YIELD nodes, relationships
+                            UNWIND nodes AS node
+                            WITH collect({{node: node}}) AS node_info, relationships
+                            RETURN node_info, relationships
+                            """
+                            result_set = None
+                            try:
+                                result_set = await session.run(
+                                    limited_query,
+                                    {
+                                        "entity_id": node_label,
+                                        "max_depth": max_depth,
+                                        "max_nodes": max_nodes,
+                                    },
+                                )
+                                record = await result_set.single()
+                            finally:
+                                if result_set:
+                                    await result_set.consume()
+                    finally:
+                        if full_result:
+                            await full_result.consume()
+
+                if record:
+                    # Handle nodes (compatible with multi-label cases)
+                    for node_info in record["node_info"]:
+                        node = node_info["node"]
+                        node_id = node.id
+                        if node_id not in seen_nodes:
+                            result.nodes.append(
+                                KnowledgeGraphNode(
+                                    id=f"{node_id}",
+                                    labels=[node.get("entity_id")],
+                                    properties=dict(node),
+                                )
+                            )
+                            seen_nodes.add(node_id)
+
+                    # Handle relationships (including direction information)
+                    for rel in record["relationships"]:
+                        edge_id = rel.id
+                        if edge_id not in seen_edges:
+                            start = rel.start_node
+                            end = rel.end_node
+                            result.edges.append(
+                                KnowledgeGraphEdge(
+                                    id=f"{edge_id}",
+                                    type=rel.type,
+                                    source=f"{start.id}",
+                                    target=f"{end.id}",
+                                    properties=dict(rel),
+                                )
+                            )
+                            seen_edges.add(edge_id)
+
+                    logger.info(
+                        f"Subgraph query successful | Node count: {len(result.nodes)} | Edge count: {len(result.edges)}"
+                    )
+
+            except neo4jExceptions.ClientError as e:
+                logger.warning(f"APOC plugin error: {str(e)}")
+                if node_label != "*":
+                    logger.warning(
+                        "Neo4j: falling back to basic Cypher recursive search..."
+                    )
+                    return await self._robust_fallback(node_label, max_depth, max_nodes)
+                else:
+                    logger.warning(
+                        "Neo4j: APOC plugin error with wildcard query, returning empty result"
+                    )
+
+        return result
 
     async def _robust_fallback(
         self, node_label: str, max_depth: int, max_nodes: int
diff --git a/rag/LightRAG-deepseek/lightrag/lightrag.py b/rag/LightRAG-deepseek/lightrag/lightrag.py
index a2024ef..2dd7681 100644
--- a/rag/LightRAG-deepseek/lightrag/lightrag.py
+++ b/rag/LightRAG-deepseek/lightrag/lightrag.py
@@ -564,6 +564,35 @@ class LightRAG:
         return await self.chunk_entity_relation_graph.get_knowledge_graph(
             node_label, max_depth, max_nodes
         )
+    
+    async def get_knowledge_graph_note(
+        self,
+        node_label: str,
+        max_depth: int = 3,
+        max_nodes: int = None,
+        note_ids: Optional[List[str]] = None, # Add note_ids parameter
+    ) -> KnowledgeGraph:
+        """Get knowledge graph for a given label
+
+        Args:
+            node_label (str): Label to get knowledge graph for
+            max_depth (int): Maximum depth of graph
+            max_nodes (int, optional): Maximum number of nodes to return. Defaults to self.max_graph_nodes.
+            note_ids (List[str], optional): List of note IDs to include in the graph. Defaults to None.
+
+        Returns:
+            KnowledgeGraph: Knowledge graph containing nodes and edges
+        """
+        # Use self.max_graph_nodes as default if max_nodes is None
+        if max_nodes is None:
+            max_nodes = self.max_graph_nodes
+        else:
+            # Limit max_nodes to not exceed self.max_graph_nodes
+            max_nodes = min(max_nodes, self.max_graph_nodes)
+
+        return await self.chunk_entity_relation_graph.get_knowledge_graph_note(
+            node_label, max_depth, max_nodes, note_ids
+        )
 
     def _get_storage_class(self, storage_name: str) -> Callable[..., Any]:
         import_path = STORAGES[storage_name]
diff --git a/rag/LightRAG-deepseek/test.html b/rag/LightRAG-deepseek/test.html
new file mode 100644
index 0000000..4c548c1
--- /dev/null
+++ b/rag/LightRAG-deepseek/test.html
@@ -0,0 +1,217 @@
+<!DOCTYPE html>
+<html>
+<head>
+  <meta charset="UTF-8">
+  <title>知识图谱可视化（接口调用修复版）</title>
+  <script src="https://cdn.jsdelivr.net/npm/echarts@5.4.3/dist/echarts.min.js"></script>
+  <script src="https://cdn.jsdelivr.net/npm/echarts@5.4.3/dist/extension/graph.min.js"></script>
+  <style>
+    .container { width: 1200px; margin: 20px auto; }
+    #param-form { 
+      margin-bottom: 20px; 
+      padding: 15px; 
+      border: 1px solid #eee; 
+      border-radius: 4px;
+    }
+    .form-group { 
+      margin-bottom: 12px; 
+      display: flex; 
+      align-items: center; 
+      gap: 10px;
+    }
+    .form-group label { 
+      width: 120px; 
+      font-weight: bold; 
+    }
+    .form-group input { 
+      flex: 1; 
+      padding: 6px 8px; 
+      border: 1px solid #ddd; 
+      border-radius: 3px;
+    }
+    .form-group input[type="number"] { 
+      width: 100px; 
+    }
+    #note-ids-input { 
+      display: flex; 
+      gap: 5px; 
+      align-items: center;
+    }
+    #note-ids-input input { 
+      flex: 1; 
+    }
+    button { 
+      padding: 8px 16px; 
+      background: #4285f4; 
+      color: white; 
+      border: none; 
+      border-radius: 4px; 
+      cursor: pointer; 
+    }
+    button:hover { 
+      background: #3367d6; 
+    }
+    #graph-container { 
+      width: 100%; 
+      height: 700px; 
+      border: 1px solid #eee; 
+    }
+    #node-info { 
+      margin-top: 10px; 
+      padding: 10px; 
+      border: 1px solid #eee; 
+      border-radius: 4px;
+    }
+    .required-mark { 
+      color: red; 
+    }
+    .error-message { 
+      color: #dc3545; 
+    }
+    .loading-message { 
+      color: #6c757d; 
+    }
+  </style>
+</head>
+<body>
+  <div class="container">
+    <form id="param-form">
+      <div class="form-group">
+        <label>标签<label class="required-mark">*</label>：</label>
+        <input type="text" id="label" placeholder="输入标签（支持通配符*）" required value="*">
+      </div>
+      <div class="form-group">
+        <label>最大深度：</label>
+        <input type="number" id="max_depth" value="3" min="1">
+      </div>
+      <div class="form-group">
+        <label>最大节点数：</label>
+        <input type="number" id="max_nodes" value="100" min="1">
+      </div>
+      <div class="form-group">
+        <label>文档ID<label class="required-mark">*</label>：</label>
+        <input type="text" id="note_ids" placeholder="多个用逗号分隔（如：马克思主义原理.txt）" required value="马克思主义原理.txt">
+      </div>
+      <button type="submit">加载知识图谱</button>
+    </form>
+
+    <div id="graph-container"></div>
+    <div id="node-info">请点击按钮调用接口</div>
+  </div>
+
+  <script>
+    document.getElementById('param-form').addEventListener('submit', function(e) {
+      e.preventDefault();
+      const nodeInfo = document.getElementById('node-info');
+      nodeInfo.className = 'loading-message';
+      nodeInfo.innerHTML = '正在加载...';
+
+      // 1. 收集参数（不手动编码）
+      const params = {
+        label: document.getElementById('label').value.trim(),
+        max_depth: document.getElementById('max_depth').value.trim() || 3,
+        max_nodes: document.getElementById('max_nodes').value.trim() || 100,
+        note_ids: document.getElementById('note_ids').value.trim().split(',').map(id => id.trim()).filter(Boolean)
+      };
+
+      if (!params.label || params.note_ids.length === 0) {
+        nodeInfo.className = 'error-message';
+        nodeInfo.innerHTML = '请填写必填参数';
+        return;
+      }
+
+      // 2. 构建URL（关键：不手动编码，让URLSearchParams自动处理）
+      const baseUrl = 'http://localhost:9621/graphs/note';
+      const urlParams = new URLSearchParams();
+
+      // 直接传原始值，URLSearchParams会自动编码一次（正确格式）
+      urlParams.append('label', params.label); 
+      urlParams.append('max_depth', params.max_depth);
+      urlParams.append('max_nodes', params.max_nodes);
+      params.note_ids.forEach(id => urlParams.append('note_ids', id)); 
+
+      const fullUrl = `${baseUrl}?${urlParams.toString()}`;
+      console.log('调用接口：', fullUrl); // 此时日志中的note_ids应为正确的一次编码格式
+
+      // 3. 发起请求
+      fetch(fullUrl, {
+        method: 'GET',
+        mode: 'cors',
+        headers: { 'Accept': 'application/json' }
+      })
+      .then(response => {
+        if (!response.ok) throw new Error(`HTTP ${response.status}`);
+        return response.json();
+      })
+      .then(kgData => {
+        if (!kgData.nodes || !kgData.edges) throw new Error('数据格式错误');
+
+        // 4. 处理节点连接数
+        const nodeLinkCount = {};
+        kgData.nodes.forEach(node => nodeLinkCount[node.id] = 0);
+        kgData.edges.forEach(edge => {
+          nodeLinkCount[edge.source]++;
+          nodeLinkCount[edge.target]++;
+        });
+
+        // 5. 转换为ECharts格式
+        const echartsNodes = kgData.nodes.map(node => ({
+          id: node.id,
+          name: node.labels[0],
+          category: node.properties.entity_type,
+          properties: node.properties,
+          symbolSize: 20 + (nodeLinkCount[node.id] * 3)
+        }));
+        const echartsLinks = kgData.edges.map(edge => ({
+          source: edge.source,
+          target: edge.target,
+          properties: edge.properties
+        }));
+        const categories = Array.from(new Set(echartsNodes.map(n => n.category))).map(type => ({ name: type }));
+
+        // 6. 渲染图表
+        const chart = echarts.init(document.getElementById('graph-container'));
+        chart.setOption({
+          tooltip: { formatter: '{b}' },
+          legend: { data: categories.map(c => c.name), bottom: 10 },
+          series: [{
+            type: 'graph',
+            layout: 'force',
+            roam: true,
+            draggable: true,
+            force: { repulsion: 300, edgeLength: 100, gravity: 0.1, iterations: 50 },
+            label: { show: true, fontSize: 12 },
+            categories: categories,
+            data: echartsNodes,
+            links: echartsLinks,
+            emphasis: { focus: 'adjacency', lineStyle: { width: 5 } }
+          }]
+        });
+
+        // 7. 点击事件
+        chart.on('click', (params) => {
+          // 保持原有点击逻辑不变
+          if (params.dataType === 'node') {
+            const p = params.data.properties;
+            nodeInfo.innerHTML = `<strong>${params.name}</strong> | 类型：${p.entity_type} | 连接数：${nodeLinkCount[params.data.id]}<br>描述：${p.description?.slice(0, 100)}...`;
+          } else if (params.dataType === 'edge') {
+            const p = params.data.properties;
+            const sourceNode = echartsNodes.find(n => n.id === params.data.source);
+            const targetNode = echartsNodes.find(n => n.id === params.data.target);
+            nodeInfo.innerHTML = `<strong>边信息</strong> | ${sourceNode?.name} → ${targetNode?.name}<br>描述：${p.description}`;
+          }
+        });
+
+        window.addEventListener('resize', () => chart.resize());
+        nodeInfo.className = '';
+        nodeInfo.innerHTML = '加载完成 | 点击节点/边查看详情';
+      })
+      .catch(error => {
+        console.error('错误：', error);
+        nodeInfo.className = 'error-message';
+        nodeInfo.innerHTML = `加载失败：${error.message}`;
+      });
+    });
+  </script>
+</body>
+</html>
\ No newline at end of file
diff --git a/rag/ui/灵简网页版 .html b/rag/ui/灵简网页版 .html
index 4cc8682..31573b1 100644
--- a/rag/ui/灵简网页版 .html	
+++ b/rag/ui/灵简网页版 .html	
@@ -108,7 +108,7 @@
     z-index: 9999; /* 确保启动页在最上层 */
   }
   .custom-splash-bg {
-    background-image: url('C:/Users/17850/Desktop/灵简/backg.jpg');
+    background-image: url('backg.jpg');
     background-size: cover;
     background-position: center;
     background-repeat: no-repeat;
@@ -130,7 +130,7 @@
 
 <!-- 启动页 -->
 <div class="splash-screen fixed inset-0 custom-splash-bg flex flex-col items-center justify-center transition-opacity duration-500" id="splashScreen">
-    <img src="C:\Users\17850\Desktop\灵简\tubiao.png" alt="灵简图标" class="w-64 h-64 rounded-lg mb-6">
+    <img src="tubiao.png" alt="灵简图标" class="w-64 h-64 rounded-lg mb-6">
     <p class="text-3xl font-semibold text-dark">灵简 - 灵性之“简”</p>
  
 </div>
@@ -140,7 +140,7 @@
   /* 登录界面背景 */
   #login-screen {
     /* 替换为你的背景图片路径 */
-    background-image: url('C:/Users/17850/Desktop/灵简/backg.jpg');
+    background-image: url('backg.jpg');
     background-size: cover;   /* 图片覆盖整个屏幕 */
     background-position: center; /* 图片居中 */
     background-repeat: no-repeat; /* 不重复 */
@@ -161,7 +161,7 @@
                 <!-- 品牌标识 -->
                 <div class="text-center mb-8">
                     <div class="flex items-center justify-center gap-2 mb-3">
-                        <img src="C:\Users\17850\Desktop\灵简\tubiao.png" alt="灵简图标" class="w-10 h-10 rounded-lg">
+                        <img src="tubiao.png" alt="灵简图标" class="w-10 h-10 rounded-lg">
                         <span class="text-2xl font-bold text-dark">灵简</span>
                     </div>
                     <h1 class="text-xl font-semibold text-dark">欢迎回来</h1>
@@ -361,7 +361,7 @@
   <!-- 标题栏（模拟Windows窗口标题栏） -->
   <header class="bg-sidebar text-white px-4 py-2 flex items-center justify-between select-none">
     <div class="flex items-center gap-3">
-      <img src="C:\Users\17850\Desktop\灵简\tubiao.png" alt="灵简图标" class="dashboard-logo w-6 h-6"> <!-- 替换绝对路径为相对路径 -->
+      <img src="tubiao.png" alt="灵简图标" class="dashboard-logo w-6 h-6"> <!-- 替换绝对路径为相对路径 -->
       <span>灵简 - 灵性之“简”</span>
     </div>
   </header>
@@ -387,7 +387,7 @@
       <!-- 用户信息区域 -->
       <div class="p-4 border-t border-gray-700 flex items-center justify-between">
         <div class="flex items-center gap-3">
-          <img src="C:\Users\17850\Desktop\灵简\tubiao.png" alt="用户头像" class="w-8 h-8 rounded-full"> <!-- 替换绝对路径 -->
+          <img src="tubiao.png" alt="用户头像" class="w-8 h-8 rounded-full"> <!-- 替换绝对路径 -->
           <div>
             <div class="text-sm font-medium" id="user-name">昵称</div>
             <div class="text-xs text-text-muted" id="user-grade-major">年级 | 专业</div>
@@ -510,7 +510,7 @@
           <!-- 系统消息示例 -->
           <div class="max-w-[80%]">
             <div class="flex items-center gap-2 mb-1">
-              <img src="C:\Users\17850\Desktop\灵简\tubiao.png" alt="AI" class="w-6 h-6 rounded-full">
+              <img src="tubiao.png" alt="AI" class="w-6 h-6 rounded-full">
               <span class="text-sm font-medium text-gray-700">灵简助手</span>
             </div>
             <div class="bg-gray-100 p-3 rounded-lg rounded-tl-none">
@@ -871,7 +871,7 @@
     // DOM元素
     let conversationHistory = [];
     // 基础地址只保留 域名/IP + 端口
-    const API_BASE_URL = 'http://192.168.208.16:9621'; 
+    const API_BASE_URL = 'http://192.168.240.16:9621'; 
     // 调用接口时，再拼接具体路径（如上传接口）
     const uploadUrl = `${API_BASE_URL}/documents/upload`; 
     const splashScreen = document.getElementById('splashScreen');
diff --git a/rag/ui/灵简：AI笔记学习助手.pptx b/rag/ui/灵简：AI笔记学习助手.pptx
new file mode 100644
index 0000000..6ee77f1
Binary files /dev/null and b/rag/ui/灵简：AI笔记学习助手.pptx differ