diff --git a/dsRag/T4_ManageMapping.py b/dsRag/T4_ManageMapping.py
index 6a61336e..f7015797 100644
--- a/dsRag/T4_ManageMapping.py
+++ b/dsRag/T4_ManageMapping.py
@@ -1,7 +1,7 @@
 from elasticsearch import Elasticsearch
 
 from Config.Config import ES_CONFIG
-from Util.EsMappingUtil import create_vector_index, delete_index  # 导入工具函数
+from Util.EsMappingUtil import create_vector_index, delete_index, create_text_index, delete_text_index
 
 # 初始化ES连接
 es = Elasticsearch(
@@ -11,22 +11,37 @@ es = Elasticsearch(
     ssl_show_warn=ES_CONFIG["ssl_show_warn"]
 )
 
-def manage_index(action, index_name="knowledge_base", dims=200):
+def manage_index(action, index_type="vector", index_name=None, dims=200):
     """管理Elasticsearch索引
     :param action: 'create'或'delete'
-    :param index_name: 索引名称
-    :param dims: 向量维度(仅创建时有效)
+    :param index_type: 'vector'或'text'
+    :param index_name: 索引名称(默认根据类型自动生成)
+    :param dims: 向量维度(仅向量索引有效)
     """
+    if index_name is None:
+        index_name = "knowledge_base" if index_type == "vector" else "raw_texts"
+    
     if action == "create":
-        return create_vector_index(index_name, dims)
+        if index_type == "vector":
+            return create_vector_index(index_name, dims)
+        else:
+            return create_text_index(index_name)
     elif action == "delete":
-        return delete_index(index_name)
+        if index_type == "vector":
+            return delete_index(index_name)
+        else:
+            return delete_text_index(index_name)
     else:
         raise ValueError("action参数必须是'create'或'delete'")
 
 # 使用示例
 if __name__ == "__main__":
-    # 删除索引
-    manage_index("delete")
-    # 创建索引
-    manage_index("create", dims=200)
+    # 先删除现有索引（如果存在）
+    manage_index("delete", "vector")
+    manage_index("delete", "text")
+    
+    # 创建新的向量索引
+    manage_index("create", "vector", dims=200)
+    
+    # 创建新的原始文本索引
+    manage_index("create", "text")
diff --git a/dsRag/T5_VectorSave.py b/dsRag/T5_VectorSave.py
index 063aabb7..31dd2ad8 100644
--- a/dsRag/T5_VectorSave.py
+++ b/dsRag/T5_VectorSave.py
@@ -1,10 +1,9 @@
-import datetime
-
+from datetime import datetime
 from elasticsearch import Elasticsearch
 
 from Config.Config import ES_CONFIG
 from T2_Txt2Vec import text_to_embedding
-from Util.EsMappingUtil import create_vector_index  # 导入工具函数
+from Util.EsMappingUtil import create_vector_index
 
 # 初始化ES连接
 es = Elasticsearch(
@@ -14,7 +13,54 @@ es = Elasticsearch(
     ssl_show_warn=ES_CONFIG["ssl_show_warn"]
 )
 
+def save_vector(text, index_name="knowledge_base"):
+    """将文本向量化后保存到ES"""
+    try:
+        # 向量化文本
+        vector = text_to_embedding(text)
+        
+        # 准备文档
+        doc = {
+            "text": text,
+            "vector": vector,
+            "timestamp": datetime.now()
+        }
+        
+        # 保存到ES
+        res = es.index(index=index_name, document=doc)
+        print(f"向量化文档已保存，ID: {res['_id']}")
+        return res['_id']
+    except Exception as e:
+        print(f"保存失败: {str(e)}")
+        raise
+
+def save_raw_text(text, index_name="raw_texts"):
+    """保存原始文本到ES"""
+    try:
+        # 准备文档
+        doc = {
+            "text": text,
+            "timestamp": datetime.now()
+        }
+        
+        # 保存到ES
+        res = es.index(index=index_name, document=doc)
+        print(f"原始文本已保存，ID: {res['_id']}")
+        return res['_id']
+    except Exception as e:
+        print(f"保存失败: {str(e)}")
+        raise
 
 # 使用示例
 if __name__ == "__main__":
-    create_vector_index(dims=200)  # 使用工具函数创建索引
+    # 创建向量索引
+    create_vector_index(dims=200)
+    
+    # 示例文本
+    sample_text = "如何更换支付宝绑定银行卡"
+    
+    # 保存向量化文档
+    save_vector(sample_text)
+    
+    # 保存原始文本
+    save_raw_text(sample_text)
diff --git a/dsRag/Util/EsMappingUtil.py b/dsRag/Util/EsMappingUtil.py
index 65dd4548..9dbf66cf 100644
--- a/dsRag/Util/EsMappingUtil.py
+++ b/dsRag/Util/EsMappingUtil.py
@@ -61,4 +61,49 @@ def delete_index(index_name):
             return False
     except Exception as e:
         print(f"删除索引失败: {str(e)}")
+        raise
+
+
+def create_text_index(index_name="raw_texts"):
+    """创建原始文本索引"""
+    mapping = {
+        "mappings": {
+            "properties": {
+                "text": {
+                    "type": "text",
+                    "analyzer": "ik_max_word",
+                    "search_analyzer": "ik_smart"
+                },
+                "timestamp": {
+                    "type": "date"
+                }
+            }
+        }
+    }
+    
+    try:
+        if not es.indices.exists(index=index_name):
+            es.indices.create(index=index_name, body=mapping)
+            print(f"原始文本索引 {index_name} 创建成功")
+            return True
+        else:
+            print(f"原始文本索引 {index_name} 已存在")
+            return False
+    except Exception as e:
+        print(f"创建原始文本索引失败: {str(e)}")
+        raise
+
+
+def delete_text_index(index_name="raw_texts"):
+    """删除原始文本索引"""
+    try:
+        if es.indices.exists(index=index_name):
+            es.indices.delete(index=index_name)
+            print(f"原始文本索引 {index_name} 删除成功")
+            return True
+        else:
+            print(f"原始文本索引 {index_name} 不存在")
+            return False
+    except Exception as e:
+        print(f"删除原始文本索引失败: {str(e)}")
         raise
\ No newline at end of file