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CodeReview/backend/app/services/rag/__init__.py

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feat(agent): implement Agent audit module with LangGraph integration - Introduce new Agent audit functionality for autonomous code security analysis and vulnerability verification. - Add API endpoints for managing Agent tasks and configurations. - Implement UI components for Agent mode selection and embedding model configuration. - Enhance the overall architecture with a focus on RAG (Retrieval-Augmented Generation) for improved code semantic search. - Create a sandbox environment for secure execution of vulnerability tests. - Update documentation to include details on the new Agent audit features and usage instructions.
2025-12-11 19:09:10 +08:00
"""
RAG (Retrieval-Augmented Generation) 系统
用于代码索引和语义检索
feat(agent): 增强任务执行流程和实时日志反馈 - 在任务执行流程中添加实时事件反馈，包括克隆进度和索引进度 - 实现 RAG v2.0 智能索引功能，支持模型变更检测和增量更新 - 改进文件工具兼容性，支持 path 参数作为 directory 别名 - 扩展前端事件处理逻辑，支持更多事件类型显示 - 修复 tree-sitter 版本兼容性问题
2025-12-16 16:56:09 +08:00
🔥 v2.0 改进：
- 支持嵌入模型变更检测和自动重建
- 支持增量索引更新（基于文件 hash）
- 支持索引版本控制和状态查询
feat(agent): implement Agent audit module with LangGraph integration - Introduce new Agent audit functionality for autonomous code security analysis and vulnerability verification. - Add API endpoints for managing Agent tasks and configurations. - Implement UI components for Agent mode selection and embedding model configuration. - Enhance the overall architecture with a focus on RAG (Retrieval-Augmented Generation) for improved code semantic search. - Create a sandbox environment for secure execution of vulnerability tests. - Update documentation to include details on the new Agent audit features and usage instructions.
2025-12-11 19:09:10 +08:00
"""
from .splitter import CodeSplitter, CodeChunk
from .embeddings import EmbeddingService
feat(agent): 增强任务执行流程和实时日志反馈 - 在任务执行流程中添加实时事件反馈，包括克隆进度和索引进度 - 实现 RAG v2.0 智能索引功能，支持模型变更检测和增量更新 - 改进文件工具兼容性，支持 path 参数作为 directory 别名 - 扩展前端事件处理逻辑，支持更多事件类型显示 - 修复 tree-sitter 版本兼容性问题
2025-12-16 16:56:09 +08:00
from .indexer import (
CodeIndexer,
IndexingProgress,
IndexingResult,
IndexStatus,
IndexUpdateMode,
INDEX_VERSION,
)
feat(agent): implement Agent audit module with LangGraph integration - Introduce new Agent audit functionality for autonomous code security analysis and vulnerability verification. - Add API endpoints for managing Agent tasks and configurations. - Implement UI components for Agent mode selection and embedding model configuration. - Enhance the overall architecture with a focus on RAG (Retrieval-Augmented Generation) for improved code semantic search. - Create a sandbox environment for secure execution of vulnerability tests. - Update documentation to include details on the new Agent audit features and usage instructions.
2025-12-11 19:09:10 +08:00
from .retriever import CodeRetriever
__all__ = [
"CodeSplitter",
"CodeChunk",
"EmbeddingService",
"CodeIndexer",
"CodeRetriever",
feat(agent): 增强任务执行流程和实时日志反馈 - 在任务执行流程中添加实时事件反馈，包括克隆进度和索引进度 - 实现 RAG v2.0 智能索引功能，支持模型变更检测和增量更新 - 改进文件工具兼容性，支持 path 参数作为 directory 别名 - 扩展前端事件处理逻辑，支持更多事件类型显示 - 修复 tree-sitter 版本兼容性问题
2025-12-16 16:56:09 +08:00
"IndexingProgress",
"IndexingResult",
"IndexStatus",
"IndexUpdateMode",
"INDEX_VERSION",
feat(agent): implement Agent audit module with LangGraph integration - Introduce new Agent audit functionality for autonomous code security analysis and vulnerability verification. - Add API endpoints for managing Agent tasks and configurations. - Implement UI components for Agent mode selection and embedding model configuration. - Enhance the overall architecture with a focus on RAG (Retrieval-Augmented Generation) for improved code semantic search. - Create a sandbox environment for secure execution of vulnerability tests. - Update documentation to include details on the new Agent audit features and usage instructions.
2025-12-11 19:09:10 +08:00
]