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由于大模型存在 Token 限制(如 GPT-4 上限约 128k tokens),长对话会因 Token 超限而丢失早期对话内容.`滑动窗口 + 摘要压缩 + 长期记忆持久化 (如 Redis、MongoDB)`, 不仅能够在 GPT 的 Token 限制内高效保留对话信息,还能最大化上下文的完整度,是在多轮对话管理中值得推荐的解决方案.
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在高并发场景下,保证数据一致性是一个非常重要且具有挑战性的问题.通常,在高并发场景中,多个请求可能会同时对相同的数据进行操作,从而导致数据的不一致