The old model was a symmetric paraphrase model, so it scored "do these look alike" instead of "does this note answer this question". Also fixes the file mismatch: the Makefile, the deploy config and both evals now all name the same quantized file, and the quantized one is what gets measured. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
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@@ -115,9 +115,13 @@ deps-piper:
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-o /tmp/piper.tar.gz
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tar -xzf /tmp/piper.tar.gz -C deps/
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EMBEDDER_DIR := $(shell pwd)/models/embedder
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EMBEDDER_MODEL_URL := https://huggingface.co/Xenova/paraphrase-multilingual-MiniLM-L12-v2/resolve/main/onnx/model_quantized.onnx
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EMBEDDER_TOKENIZER_URL := https://huggingface.co/Xenova/paraphrase-multilingual-MiniLM-L12-v2/resolve/main/tokenizer.json
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# multilingual-e5-small: an asymmetric retrieval model. It is trained to match
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# a short question against a longer passage, which is what note recall is.
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# The quantized file is the one we download, deploy and measure — see
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# RECALL-EVAL-31-07-2026.md.
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EMBEDDER_DIR := $(shell pwd)/models/embedder/multilingual-e5-small
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EMBEDDER_MODEL_URL := https://huggingface.co/Xenova/multilingual-e5-small/resolve/main/onnx/model_quantized.onnx
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EMBEDDER_TOKENIZER_URL := https://huggingface.co/Xenova/multilingual-e5-small/resolve/main/tokenizer.json
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download-embedder:
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mkdir -p $(EMBEDDER_DIR)
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