diff --git a/dsRag/T2_Txt2Vec.py b/dsRag/T2_Txt2Vec.py
index fc99afa3..77e28f7c 100644
--- a/dsRag/T2_Txt2Vec.py
+++ b/dsRag/T2_Txt2Vec.py
@@ -2,19 +2,15 @@
 # 安装向量化的包 （# 断开VPN后执行安装包）
 conda activate rag
 pip install text2vec torch torchvision torchaudio
+
+# 安装完整版本（包含额外依赖）
+pip install gensim[complete]
 '''
 
+from Util.EmbeddingUtil import *
 
-from text2vec import SentenceModel
 sentences = ['如何更换花呗绑定银行卡', '花呗更改绑定银行卡']
-'''
-- 自动下载预训练模型到缓存目录（通常是 ~/.cache/huggingface/hub ）
-- 后续运行会直接使用缓存
 
-如果下载慢，可以设置镜像源：
-import os
-os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
-'''
-model = SentenceModel('shibing624/text2vec-base-chinese')
-embeddings = model.encode(sentences)
-print(embeddings)
\ No newline at end of file
+for sentence in sentences:
+    x = text_to_embedding(sentence)
+    print(x)
diff --git a/dsRag/Util/EmbeddingUtil.py b/dsRag/Util/EmbeddingUtil.py
new file mode 100644
index 00000000..fde367c0
--- /dev/null
+++ b/dsRag/Util/EmbeddingUtil.py
@@ -0,0 +1,26 @@
+import logging
+import jieba
+from gensim.models import KeyedVectors
+
+# 配置日志
+logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
+logger = logging.getLogger(__name__)
+
+# 初始化 Word2Vec 模型
+model_path = r"D:\Tencent_AILab_ChineseEmbedding\Tencent_AILab_ChineseEmbedding.txt"
+model = KeyedVectors.load_word2vec_format(model_path, binary=False, limit=10000)
+logger.info(f"模型加载成功，词向量维度: {model.vector_size}")
+
+# 将文本转换为嵌入向量
+def text_to_embedding(text):
+    words = jieba.lcut(text)  # 使用 jieba 分词
+    logger.info(f"文本: {text}, 分词结果: {words}")
+    embeddings = [model[word] for word in words if word in model]
+    logger.info(f"有效词向量数量: {len(embeddings)}")
+    if embeddings:
+        avg_embedding = sum(embeddings) / len(embeddings)
+        logger.info(f"生成的平均向量: {avg_embedding[:5]}...")  # 打印前 5 维
+        return avg_embedding
+    else:
+        logger.warning("未找到有效词，返回零向量")
+        return [0.0] * model.vector_size
\ No newline at end of file
diff --git a/dsRag/Util/__init__.py b/dsRag/Util/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/dsRag/Util/__pycache__/EmbeddingUtil.cpython-310.pyc b/dsRag/Util/__pycache__/EmbeddingUtil.cpython-310.pyc
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diff --git a/dsRag/Util/__pycache__/__init__.cpython-310.pyc b/dsRag/Util/__pycache__/__init__.cpython-310.pyc
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