gcloud-lab/apps/base/customer1/embedding-service/Dockerfile.embedding
Hermes Agent 4df7450461 feat(customer1): add pgvector RAG knowledge base with embedding service
- Custom PostgreSQL 15.2 image with pgvector 0.8.0 extension
- Updated pg-cluster-hermes.yaml: custom image, sharedPreloadLibraries, maintenance_work_mem
- RAG schema: documents table with vector(768) embeddings + HNSW index
- RAG init job: ConfigMap + Job to apply schema to agent_memory db
- Embedding service: FastAPI with nomic-embed-text-v1.5
  - OpenAI-compatible /v1/embeddings endpoint
  - Deployment (1 replica, 2Gi-4Gi memory) + Service manifests
- Updated kustomization.yaml to include new resources
2026-05-24 20:31:59 +00:00

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FROM python:3.12-slim
WORKDIR /app
# Install sentence-transformers and deps
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy application
COPY app.py .
# Health check
HEALTHCHECK --interval=30s --timeout=5s --start-period=60s --retries=3 \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')" || exit 1
EXPOSE 8000
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]