改成通用md文件

.gitignore

@@ -19,6 +19,7 @@ backend/chroma_db/
 
 # Uploads
 uploads/
+backend/data/
 
 # IDE
 .vscode/

.python-version

@@ -1 +1 @@
-3.13
+3.12

PROMPT.md

@@ -0,0 +1,5 @@
+重构backend文件夹中的内容，将rag_system修改为一个通用的rag系统，输入改为任意的md文件，保持各文件名不变；
+不再需要使用大模型接口，不再需要ai_generator.py文件、session_manager.py文件；
+rag_system对外提供两个接口：
+1. 初始化接口，输入为文件夹路径，输出为初始化完成的rag系统；
+2. 查询接口，输入为查询语句，输出为查询结果；2

backend/README.md

@@ -0,0 +1,12 @@
+
+
+
+```cmd
+# 执行测试用例
+uv run python -m pytest tests/ -v --tb=short
+uv run python -m pytest tests/ -v
+
+
+# 运行单个测试文件
+uv run python -m pytest tests/test_document_processor.py -v --tb=short
+```

backend/config.py

@@ -11,18 +11,13 @@
 class Config:
     """Configuration settings for the RAG system"""
 
-    # Anthropic API settings
-    ANTHROPIC_API_KEY: str = os.getenv("ANTHROPIC_API_KEY", "")
-    ANTHROPIC_MODEL: str = "claude-sonnet-4-20250514"
-
     # Embedding model settings
     EMBEDDING_MODEL: str = "all-MiniLM-L6-v2"
 
     # Document processing settings
     CHUNK_SIZE: int = 800  # Size of text chunks for vector storage
     CHUNK_OVERLAP: int = 100  # Characters to overlap between chunks
     MAX_RESULTS: int = 5  # Maximum search results to return
-    MAX_HISTORY: int = 2  # Number of conversation messages to remember
 
     # Database paths
     CHROMA_PATH: str = "./chroma_db"  # ChromaDB storage location