Built semantic search over clippings files.
Embedded text as a ChromaDB to learn that. Updated requirements to include new depenendencies
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.gitignore
vendored
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.gitignore
vendored
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@ -6,12 +6,17 @@ __pycache__/
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# HuggingFace cached models (large, ~2 GB)
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models/
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# Vector stores (large, rebuild with build_exp_claude.py)
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# Vector stores (large, rebuild with build scripts)
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storage_exp/
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storage/
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storage_clippings/
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# Data (symlink to private journal files)
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# Data (symlinks to private files)
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data
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clippings
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# Generated file lists
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ocr_needed.txt
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# IDE and OS
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.DS_Store
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