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RAGMedium· Embeddings· Tokenization· Retrieval
A user asks your assistant about a Python 3.12 API chan...
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See plansThe failure occurs because the embedding model pools tokens, and the version numbers are not sufficiently distinct features in the dense vector space. A weak answer suggests using a larger model, which does not address the pooling issue. The correct approach is to introduce a lexical filter or metadata-based filtering so the version string is treated as a specific, discriminating term.