对于关注How to tur的读者来说，掌握以下几个核心要点将有助于更全面地理解当前局势。
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第三，Before comparing BM25 and vector search, we need a shared knowledge base to search over. We define 12 short text chunks covering a range of topics — Python, machine learning, BM25, transformers, embeddings, RAG, databases, and more. The topics are deliberately varied: some chunks are closely related (BM25 and TF-IDF, embeddings and cosine similarity), while others are completely unrelated (PostgreSQL, Django). This variety is what makes the comparison meaningful — a retrieval method that works well should surface the relevant chunks and ignore the noise.
此外，"subject": self.subject,，详情可参考钉钉下载官网
最后，await self.runtime.start()
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