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feat: ABM Engine v1 — OpenSearch store + Apify enrichment + ICP scoring + k-NN memory + optional Neo4j mirror

fb0ec21 2 days ago

650 Bytes

FROM python:3.11-slim
WORKDIR /app

RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Bake the embedding model at build time so a cold Space makes zero
# network calls for inference (fastembed caches under HF_HOME).
ENV HF_HOME=/app/models
RUN python3 -c "from fastembed import TextEmbedding; list(TextEmbedding('sentence-transformers/all-MiniLM-L6-v2').embed(['warm']))" \
    && echo "[BUILD] embedding model baked"

COPY app/ ./app/

EXPOSE 7860
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

	FROM python:3.11-slim
	WORKDIR /app

	RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*

	COPY requirements.txt .
	RUN pip install --no-cache-dir -r requirements.txt

	# Bake the embedding model at build time so a cold Space makes zero
	# network calls for inference (fastembed caches under HF_HOME).
	ENV HF_HOME=/app/models
	RUN python3 -c "from fastembed import TextEmbedding; list(TextEmbedding('sentence-transformers/all-MiniLM-L6-v2').embed(['warm']))" \
	&& echo "[BUILD] embedding model baked"

	COPY app/ ./app/

	EXPOSE 7860
	CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]