refactor(knowledge): 重构知识库模块，优化架构和实现

- 优化知识库文件夹结构，增强可维护性
- 新增知识库管理器和工厂类，统一管理不同类型的知识库实例
- 实现知识库的基本操作接口，包括创建、更新和删除数据库
- 引入新的知识库实现类（ChromaKB、MilvusKB、LightRagKB），支持多种存储后端
- 增强文件路径验证，确保安全性
- 更新文档，提供新的知识库接口说明

docs/changelog/update.md

@@ -27,6 +27,7 @@
 - [x] 添加内容审查功能
 - [x] 补充 embedding 模型和 reranker 模型的配置说明
 - [ ] 支持 MinerU 的解析方法
+- [x] 优化 knowledge 文件夹下面的架构
 
 📝 **Base**
 

src/knowledge/__init__.py

@@ -1,12 +1,12 @@
 import os
 
 from ..config import config
-from .chroma_kb import ChromaKB
-from .graphbase import GraphDatabase
-from .kb_factory import KnowledgeBaseFactory
-from .kb_manager import KnowledgeBaseManager
-from .lightrag_kb import LightRagKB
-from .milvus_kb import MilvusKB
+from .implementations.chroma import ChromaKB
+from .graph import GraphDatabase
+from .factory import KnowledgeBaseFactory
+from .manager import KnowledgeBaseManager
+from .implementations.lightrag import LightRagKB
+from .implementations.milvus import MilvusKB
 
 # 注册知识库类型
 KnowledgeBaseFactory.register("chroma", ChromaKB, {"description": "基于 ChromaDB 的轻量级向量知识库，适合开发和小规模"})

src/knowledge/factory.py

@@ -1,4 +1,4 @@
-from src.knowledge.knowledge_base import KBNotFoundError, KnowledgeBase
+from src.knowledge.base import KBNotFoundError, KnowledgeBase
 from src.utils import logger
 
 

src/knowledge/implementations/__init__.py

@@ -0,0 +1,13 @@
+"""知识库具体实现模块
+
+包含各种知识库的具体实现：
+- ChromaKB: 基于 ChromaDB 的向量知识库
+- MilvusKB: 基于 Milvus 的向量知识库
+- LightRagKB: 基于 LightRAG 的图检索知识库
+"""
+
+from .chroma import ChromaKB
+from .milvus import MilvusKB
+from .lightrag import LightRagKB
+
+__all__ = ["ChromaKB", "MilvusKB", "LightRagKB"]

src/knowledge/implementations/chroma.py

@@ -8,13 +8,13 @@ from chromadb.config import Settings
 from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction
 
 from src.knowledge.indexing import process_file_to_markdown, process_url_to_markdown
-from src.knowledge.kb_utils import (
+from src.knowledge.utils.kb_utils import (
     get_embedding_config,
     prepare_item_metadata,
     split_text_into_chunks,
     split_text_into_qa_chunks,
 )
-from src.knowledge.knowledge_base import KnowledgeBase
+from src.knowledge.base import KnowledgeBase
 from src.utils import logger
 
 

src/knowledge/implementations/lightrag.py

@@ -10,8 +10,8 @@ from neo4j import GraphDatabase
 from pymilvus import connections, utility
 
 from src.knowledge.indexing import process_file_to_markdown, process_url_to_markdown
-from src.knowledge.kb_utils import get_embedding_config, prepare_item_metadata
-from src.knowledge.knowledge_base import KnowledgeBase
+from src.knowledge.utils.kb_utils import get_embedding_config, prepare_item_metadata
+from src.knowledge.base import KnowledgeBase
 from src.utils import hashstr, logger
 
 LIGHTRAG_LLM_PROVIDER = os.getenv("LIGHTRAG_LLM_PROVIDER", "siliconflow")

src/knowledge/implementations/milvus.py

@@ -7,13 +7,13 @@ from typing import Any
 from pymilvus import Collection, CollectionSchema, DataType, FieldSchema, connections, db, utility
 
 from src.knowledge.indexing import process_file_to_markdown, process_url_to_markdown
-from src.knowledge.kb_utils import (
+from src.knowledge.utils.kb_utils import (
     get_embedding_config,
     prepare_item_metadata,
     split_text_into_chunks,
     split_text_into_qa_chunks,
 )
-from src.knowledge.knowledge_base import KnowledgeBase
+from src.knowledge.base import KnowledgeBase
 from src.models.embed import OtherEmbedding
 from src.utils import hashstr, logger
 

src/knowledge/manager.py

@@ -3,8 +3,8 @@ import json
 import os
 from datetime import datetime
 
-from src.knowledge.kb_factory import KnowledgeBaseFactory
-from src.knowledge.knowledge_base import KBNotFoundError, KnowledgeBase
+from src.knowledge.factory import KnowledgeBaseFactory
+from src.knowledge.base import KBNotFoundError, KnowledgeBase
 from src.utils import logger
 
 

src/knowledge/utils/__init__.py

@@ -0,0 +1,22 @@
+"""知识库工具模块
+
+包含知识库相关的工具函数：
+- kb_utils: 知识库通用工具函数
+- indexing: 文件处理和索引相关功能
+"""
+
+from .kb_utils import (
+    get_embedding_config,
+    prepare_item_metadata,
+    split_text_into_chunks,
+    split_text_into_qa_chunks,
+    validate_file_path,
+)
+
+__all__ = [
+    "get_embedding_config",
+    "prepare_item_metadata",
+    "split_text_into_chunks",
+    "split_text_into_qa_chunks",
+    "validate_file_path",
+]