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Common optimization techniques for vector retrieval accuracy include adjusting chunking strategies, using reranking models (Reranker), and hybrid retrieval (keyword + semantic).
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9/15/2026
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UnverifiedHyperparameter tuning methods have progressed from grid search and random search to Bayesian optimization (such as Optuna and HyperOpt), with efficiency improving incrementally.73% similarUnverifiedListwise directly optimizes the ranking quality metric of the entire list (e.g., LambdaMART performs approximate optimization of NDCG), which is the closest to real business objectives but has the highest implementation complexity.73% similarUnverified业界主流方案已演进为混合检索（Hybrid Search）策略，通过倒数排名融合（RRF）或加权线性组合合并向量检索与关键词检索结果，可提升召回率和精度73% similarUnverifiedReranking models such as Cohere Rerank and BGE-Reranker use a Cross-Encoder architecture to perform fine-grained relevance scoring between queries and documents, and are a key component in optimizing RAG precision.71% similarUnverified重排模型会对查询和每个候选文档进行更精细的相关性打分，将最相关的文档排在前列，从而提升检索质量70% similar
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