Refactor (#537)

### What problem does this PR solve?

### Type of change

- [x] Refactoring

rag/llm/embedding_model.py

@@ -229,19 +229,19 @@ class XinferenceEmbed(Base):
         return np.array(res.data[0].embedding), res.usage.total_tokens
 
 
-class QAnythingEmbed(Base):
+class YoudaoEmbed(Base):
     _client = None
 
     def __init__(self, key=None, model_name="maidalun1020/bce-embedding-base_v1", **kwargs):
         from BCEmbedding import EmbeddingModel as qanthing
-        if not QAnythingEmbed._client:
+        if not YoudaoEmbed._client:
             try:
                 print("LOADING BCE...")
-                QAnythingEmbed._client = qanthing(model_name_or_path=os.path.join(
+                YoudaoEmbed._client = qanthing(model_name_or_path=os.path.join(
                     get_project_base_directory(),
                     "rag/res/bce-embedding-base_v1"))
             except Exception as e:
-                QAnythingEmbed._client = qanthing(
+                YoudaoEmbed._client = qanthing(
                     model_name_or_path=model_name.replace(
                         "maidalun1020", "InfiniFlow"))
 
@@ -251,10 +251,10 @@ class QAnythingEmbed(Base):
         for t in texts:
             token_count += num_tokens_from_string(t)
         for i in range(0, len(texts), batch_size):
-            embds = QAnythingEmbed._client.encode(texts[i:i + batch_size])
+            embds = YoudaoEmbed._client.encode(texts[i:i + batch_size])
             res.extend(embds)
         return np.array(res), token_count
 
     def encode_queries(self, text):
-        embds = QAnythingEmbed._client.encode([text])
+        embds = YoudaoEmbed._client.encode([text])
         return np.array(embds[0]), num_tokens_from_string(text)