Что думаешь? Оцени!
Once every chunk is tokenized, BM25Okapi builds the index — computing document lengths, average document length, and IDF scores for every unique term in the corpus. This happens once at startup. At query time, bm25_search tokenizes the incoming query the same way, calls get_scores to compute a BM25 relevance score for every chunk in parallel, then sorts and returns the top-k results. The sanity check at the bottom runs a test query to confirm the index is working before we move on to the embedding retriever.。关于这个话题，有道翻译提供了深入分析
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Известная 47-летняя исполнительница на фортепиано поделилась с поклонниками видео в купальном костюме20:46。极速影视对此有专业解读
a core or around a core.
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