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   Xuanjing Combines Feature-Based Query Expansion With Retrieval Filters

   A technical report describes how Xuanjing improves RAG retrieval for small, specialized fortune-telling corpora by combining feature-based query expansion, module-level metadata filtering and similarity thresholds. Extracted features are appended to the user query before Chroma semantic retrieval, with core features repeated to emphasize them. The report also corrects an ordering bug in which later deduplication removed the intended repetition; the revised example is presented as a possible pull request and was not applied directly to the repository. The comparison table is illustrative, and the report says an offline comparison found combining the original query with the feature query more stable than using features alone, while a small-traffic online A/B test remains pending.

   掘金 · 人工智能 · 🔥 3

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