AI-Q Research Assistant File Loader

NVIDIA

Container

NVIDIA

AI-Q Research Assistant File Loader

The NVIDIA AI-Q Research Assistant Blueprint gives developers a foundational starting point for building a deep research assistant that can run on-premise. This container includes a utility to create two default datasets used by the demo web UI.

Layer	Label		Created
5d2e4c5cae4c3e345e6b922e48166902ea88a939c0b62068977910cc51c1f229	CONFIG	`WorkingDir /app`	06/05/2025 2:58 PM UTC
909b5a76a20dc538ccd17f89b4de7fd3dd6cac0b735178fcf5a3ee837c82711f	ENV	`PYTHONUNBUFFERED=1`	06/05/2025 2:58 PM UTC
bb26e721d8298abc5a593c1180e11d07763d700f7d49f51ac4b6b355d5526dac	COPY	`./files/* .`	06/05/2025 2:58 PM UTC
c86c7878fde0d627a28acd9bacbc22e689f01f6a16306575d4df70bd3d036cf7	COPY	`./sync_files2.py .`	06/05/2025 2:58 PM UTC
ba10f1dd9f1791de5da7b6d15ef01138eab5525c566cfc165033f86eca88da27	RUN	`uv pip install --no-cache-dir -r requirements.txt`	06/05/2025 2:58 PM UTC
8cc51b15e9823b36c8036dc3937418d444f2c85eda9b57c5d4da44e7a6a5ad09	RUN	`uv venv --python-preference managed`	06/05/2025 2:58 PM UTC
391afe845ae82c19091286e0516add2720e6217319fb61c2690c78dab8edee82	COPY	`requirements.txt .`	06/05/2025 2:58 PM UTC
01157002b0ffab47cf72697d61474103f88c8808b882050dd3367afa0033e656	RUN	`mkdir -p /tmp-data/uploaded_files`	06/05/2025 2:58 PM UTC
1697435e53f655dcca1c64e9ed28a32177bfedd4ab8cafbac1a47c4dc1c0c0bd	RUN	`apt-get update && apt-get install -y build-essential && rm -rf /var/lib/apt/lists/*`	06/05/2025 2:58 PM UTC
477c73e601c6cc400ffb2f230b4f1cfbb52254d555add357c01fbceae2cb07d3	WORKDIR	`/app`	06/05/2025 2:58 PM UTC