resolve conflict

colab_install_deps.py

@@ -0,0 +1,99 @@
+#!/usr/bin/env python3
+"""
+Colab环境依赖安装脚本
+确保所有LangChain相关包都是最新版本，避免导入错误
+"""
+
+import subprocess
+import sys
+
+def install_package(package):
+    """安装单个包"""
+    subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", package])
+
+def main():
+    print("="*70)
+    print("📦 Colab GraphRAG 依赖安装")
+    print("="*70)
+    
+    # 关键包列表（指定版本以确保兼容性）
+    packages = [
+        # LangChain核心包（最新版本）
+        "langchain>=0.1.0",
+        "langchain-core>=0.1.52",
+        "langchain-community>=0.0.38",
+        "langchain-text-splitters>=0.0.1",
+        "langgraph>=0.0.40",
+        
+        # Ollama支持
+        "langchain-ollama>=0.1.0",
+        
+        # 向量数据库和嵌入
+        "chromadb>=0.4.22",
+        "sentence-transformers>=2.2.0",
+        
+        # 文档处理
+        "tiktoken>=0.5.0",
+        "beautifulsoup4>=4.12.0",
+        "requests>=2.31.0",
+        
+        # 网络搜索
+        "tavily-python>=0.3.0",
+        
+        # 工具库
+        "python-dotenv>=1.0.0",
+        
+        # GraphRAG特定
+        "networkx>=3.1",
+        "python-louvain>=0.16",
+        
+        # PyTorch和Transformers
+        "torch>=2.0.0",
+        "transformers>=4.30.0",
+    ]
+    
+    print("\n🔄 开始安装依赖包...\n")
+    
+    for i, package in enumerate(packages, 1):
+        try:
+            print(f"[{i}/{len(packages)}] 安装 {package}...")
+            install_package(package)
+            print(f"    ✅ {package} 安装成功")
+        except Exception as e:
+            print(f"    ❌ {package} 安装失败: {e}")
+    
+    print("\n" + "="*70)
+    print("✅ 依赖安装完成!")
+    print("="*70)
+    
+    # 验证关键导入
+    print("\n🔍 验证关键导入...")
+    
+    imports_to_check = [
+        ("langchain", "LangChain"),
+        ("langchain_core", "LangChain Core"),
+        ("langchain_community", "LangChain Community"),
+        ("langchain_text_splitters", "LangChain Text Splitters"),
+        ("chromadb", "ChromaDB"),
+        ("sentence_transformers", "Sentence Transformers"),
+        ("networkx", "NetworkX"),
+    ]
+    
+    all_ok = True
+    for module, name in imports_to_check:
+        try:
+            __import__(module)
+            print(f"   ✅ {name}")
+        except ImportError as e:
+            print(f"   ❌ {name}: {e}")
+            all_ok = False
+    
+    if all_ok:
+        print("\n🎉 所有依赖验证通过!")
+    else:
+        print("\n⚠️  部分依赖验证失败，请检查错误信息")
+    
+    print("\n" + "="*70)
+
+if __name__ == "__main__":
+    main()

document_processor.py

@@ -3,7 +3,11 @@
 负责文档加载、文本分块、向量化和向量数据库初始化
 """
 
-from langchain.text_splitter import RecursiveCharacterTextSplitter
+try:
+    from langchain_text_splitters import RecursiveCharacterTextSplitter
+except ImportError:
+    from langchain.text_splitter import RecursiveCharacterTextSplitter
+
 from langchain_community.document_loaders import WebBaseLoader
 from langchain_community.vectorstores import Chroma
 from langchain_community.embeddings import HuggingFaceEmbeddings

requirements_graphrag.txt

@@ -2,6 +2,12 @@
 # 在原有requirements.txt基础上添加这些包
 # 安装命令: pip install -r requirements_graphrag.txt
 
+# LangChain相关（确保最新版本）
+langchain>=0.1.0
+langchain-community>=0.0.38
+langchain-core>=0.1.0
+langchain-text-splitters>=0.0.1  # 新版本text splitter
+
 # 图数据库
 neo4j>=5.14.0
 py2neo>=2021.2.3