Unverified50% confidenceSolutionExact time
Hybrid retrieval, by fusing the results of dense vector retrieval (Embedding) and sparse retrieval (BM25/TF-IDF), can significantly improve retrieval recall.
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50%
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Long-term
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9/1/2026
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VerifiedHybrid retrieval (combining dense vector retrieval with BM25 sparse retrieval) performs better than either method alone on most benchmarks.77% similarUnverifiedNewer and more powerful models not only have a higher unit price, but may further amplify output token consumption by tending to generate longer responses.60% similarUnverifiedEmbedding fine-tuning improves recall coverage, while reranking improves precision ranking accuracy; the combination of the two is the standard solution for production-grade RAG systems.60% similarUnverifiedThe HNSW algorithm has been adopted by mainstream vector libraries such as Chroma and Weaviate due to its excellent balance between high recall rate and low latency.58% similarUnverified响应速度越快的产品，单位时间内处理的请求越多，反而越容易触及用量上限57% similar
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