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Alex
196865846c
requirements.txt pinned torch and transformers in core although only docling needs them, and on Linux torch pulls the CUDA 13 stack: 2.7 GB of the 3.0 GB wheel download. Direct dependencies now live in pyproject.toml, uv.lock pins everything, and application/requirements*.txt are exported from the lock by scripts/export_requirements.sh (each file is the core set plus one extra). The docling extra pins torch/torchvision/transformers itself and, on Linux, resolves torch from the CPU-only PyTorch index (no nvidia packages). milvus (pymilvus + milvus-lite, which pulls pyarrow) is the second extra. application/core/optional_deps.py is the one place install hints come from; the milvus store and the docling call sites use it so a missing extra fails with the exact command to run.