Init

app/core/vector_store.py

@@ -4,10 +4,8 @@ import chromadb
 from dotenv import load_dotenv
 from langchain_openai import AzureOpenAIEmbeddings, OpenAIEmbeddings
 
-# 加载.env文件中的环境变量
 load_dotenv()
 
-# 获取配置的LLM供应商
 LLM_PROVIDER = os.getenv("LLM_PROVIDER", "openai").lower()
 
 embedding_model = None
@@ -15,7 +13,6 @@ embedding_model = None
 print(f"--- [Core] Initializing Embeddings with provider: {LLM_PROVIDER} ---")
 
 if LLM_PROVIDER == "azure":
-    # --- Azure OpenAI 配置 ---
     required_vars = [
         "AZURE_OPENAI_ENDPOINT", "AZURE_OPENAI_API_KEY",
         "OPENAI_API_VERSION", "AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME"
@@ -31,7 +28,6 @@ if LLM_PROVIDER == "azure":
     )
 
 elif LLM_PROVIDER == "openai":
-    # --- 标准 OpenAI 配置 ---
     if not os.getenv("OPENAI_API_KEY"):
         raise ValueError("OPENAI_API_KEY is not set for the 'openai' provider.")
 
@@ -44,7 +40,6 @@ else:
     raise ValueError(f"Unsupported LLM_PROVIDER: {LLM_PROVIDER}. Please use 'azure' or 'openai'.")
 
 
-# 初始化ChromaDB客户端 (无变化)
 client = chromadb.PersistentClient(path="./chroma_db")
 vector_store = client.get_or_create_collection(
     name="documents",