Image vector to product details

Dockerfile

@@ -21,6 +21,7 @@ WORKDIR /app
 # image-search fallback (see requirements.txt); run `playwright install
 # chromium` in the container if you need that specific fallback tier.
 COPY requirements.txt .
+COPY requirements-ocr.txt .
 
 # torch is installed FIRST, from PyTorch's CPU-only index, and that ordering is
 # the point. sentence-transformers pulls torch in transitively, and pip's
@@ -63,6 +64,14 @@ RUN /opt/venv/bin/pip install --no-cache-dir \
 
 RUN /opt/venv/bin/pip install --no-cache-dir -r requirements.txt
 
+# The OCR engine goes in AFTER requirements.txt and WITHOUT its declared
+# dependencies. rapidocr's metadata asks for opencv-python (the GUI build);
+# letting pip honour that would unpack it over opencv-python-headless and the
+# result fails on libGL.so.1 in this image - taking the img_vector embedder
+# down with it. Its real dependencies are in requirements.txt already; its
+# PP-OCR models are inside the wheel, so nothing is downloaded at runtime.
+RUN /opt/venv/bin/pip install --no-cache-dir --no-deps -r requirements-ocr.txt
+
 # Strip payload the running service can never execute. Doing this in the build
 # stage is what makes it count: the runtime stage copies /opt/venv as one layer,
 # so anything deleted after that COPY would still occupy space in the layer