https://guijiagi.com/tags/%E9%87%8D%E6%8E%92%E5%BA%8F/Recent content in 重排序 on 硅基 AGI · 智能体学习与测评Hugozh-cn本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权Thu, 16 Jul 2026 10:02:00 +0800https://guijiagi.com/posts/b2-922f32c3/Thu, 16 Jul 2026 10:02:00 +0800https://guijiagi.com/posts/b2-922f32c3/从BM25到ColBERT，深入探讨RAG系统中混合检索策略、交叉编码器重排序及检索质量评估方法https://guijiagi.com/posts/rag-reranking-2026/Thu, 02 Jul 2026 10:40:00 +0800https://guijiagi.com/posts/rag-reranking-2026/系统介绍2026年RAG重排序技术的原理、模型对比与工程实践https://guijiagi.com/posts/rag-reranking-cohere-bge-jina-comparison/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/rag-reranking-cohere-bge-jina-comparison/深入对比三大主流重排序模型，包含性能基准、成本分析和工程选型建议https://guijiagi.com/posts/reranker-model-selection-2026-cohere-bge-jina/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/reranker-model-selection-2026-cohere-bge-jina/2026年主流Reranker模型深度对比：Cohere、BGE、Jina在中文与英文检索重排场景的全面评测https://guijiagi.com/posts/rag-rerank-strategy/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/rag-rerank-strategy/RAG系统中重排序策略的原理、模型选择与工程实践，提升检索精度的关键环节https://guijiagi.com/posts/rag-reranking-guide/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/rag-reranking-guide/深入对比三种主流 RAG 重排序方案：Cohere Rerank API、BAAI bge-reranker、自训练 Cross-Encoder，涵盖原理、部署方式、代码实现、延迟测试与效果对比，给出不同场景的最佳选择。https://guijiagi.com/posts/reranker-model-selection/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/reranker-model-selection/Reranker 模型在 RAG 中的关键角色，Bi-Encoder vs Cross-Encoder 原理与选型策略