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feat(memory): 重构记忆系统检索机制并优化召回率

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- 实现五阶段检索流程：元数据过滤→向量搜索→语义重排序→上下文过滤→增强重排序
- 添加回退机制保障检索健壮性，当主检索失败时自动降级到文本匹配
- 优化向量相似度阈值配置，提升记忆召回率
- 新增记忆融合候选收集机制，避免重复记忆存储
- 改进记忆格式化器，支持多种展示格式
- 增强向量存储加载和重建逻辑，确保数据持久化
- 优化记忆存储时机，移至回复生成完成后异步执行
- 添加详细的检索调试日志，便于问题排查
- 简化查询规划器提示模板，提升生成效率
This commit is contained in:
Windpicker-owo
2025-10-01 15:02:38 +08:00
parent 3d59024c3c
commit 99f77135c1
16 changed files with 2058 additions and 203 deletions
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2
src/chat/energy_system/energy_manager.py
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@@ -351,7 +351,7 @@ class EnergyManager:
/ total_calculations
)
logger.info(f"聊天流 {stream_id} 最终能量: {final_energy:.3f} (原始: {total_energy:.3f}, 耗时: {calculation_time:.3f}s)")
logger.debug(f"聊天流 {stream_id} 最终能量: {final_energy:.3f} (原始: {total_energy:.3f}, 耗时: {calculation_time:.3f}s)")
return final_energy
def _apply_threshold_adjustment(self, energy: float) -> float: