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NVIDIA
NVIDIA
AI-Q Research Assistant Backend
Container
NVIDIA
NVIDIA
AI-Q Research Assistant Backend

The NVIDIA AI-Q Research Assistant Blueprint gives developers a foundational starting point for building a deep research assistant that can run on-premise. The backend container provides the RESTful API service.

LayerLabelCreated
24d59ae15dd0ee61263fd7b3971a205ad702ce973202430e36f0f9a1d3e63fe2CONFIG
WorkingDir /app
10/23/2025 1:36 AM UTC
23f4c9f23f481ea4f545e62b14b0eabf78de2cc9f56653e06e36a377743dc931COPY
./configs/* /app/configs/
10/23/2025 1:36 AM UTC
9dd17ae60ae31ffa9cd600ba60dba607e51cc5637c9e73a73b0f6d48689ebf63RUN
uv pip install /build/dist/aiq_aira-*.whl
10/23/2025 1:36 AM UTC
4709daa009e68bb1d8bfa81086e309937bf967933078c1cb1fab0d8506f013e2RUN
chmod +x /entrypoint.sh
10/23/2025 1:36 AM UTC
712ed5b2ebc5e42592e1c0b2d2ba7a45c8b2edc845e4b99348d1ec9f8a5638acCOPY
./deploy/entrypoint.sh /entrypoint.sh
10/23/2025 1:36 AM UTC
69d2d731fd400ff7b8971ed319c6c47db4dbfffd8b906e24a66fc5d441df4f3cRUN
uv venv --python-preference managed --seed
10/23/2025 1:36 AM UTC
ad86b5f0853f97715cde9144481dda1ed61502ab95c7df8a6cd5e790f872aa47RUN
uv python install 3.12
10/23/2025 1:36 AM UTC
2948637e4b47da763dc78f705543db2886ef33479abd00d44fa48b52780f0b05WORKDIR
/app
10/23/2025 1:36 AM UTC
29c6bdc203335847b30ffebe939f4df6b7ba2ebb372772937afa51df7295f4c3ENV
PATH=/root/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
10/23/2025 1:36 AM UTC
30d6956028797de8c68819c8b8b078fccffdcb20350039ea0ff7d06dc7c58c41RUN
sh /uv-installer.sh &&
  rm /uv-installer.sh
10/23/2025 1:36 AM UTC

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