4df7450461
- 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
55 lines
1.3 KiB
YAML
55 lines
1.3 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: embedding-service
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namespace: customer1
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labels:
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app: embedding-service
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: embedding-service
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template:
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metadata:
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labels:
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app: embedding-service
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spec:
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containers:
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- name: embedding-service
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image: gcr.io/devops-lab-cluster/embedding-service:1.0.0
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ports:
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- containerPort: 8000
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name: http
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protocol: TCP
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env:
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- name: MODEL_NAME
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value: "nomic-embed-text-v1.5"
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resources:
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requests:
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cpu: "500m"
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memory: "2Gi"
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limits:
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cpu: "2000m"
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memory: "4Gi"
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startupProbe:
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httpGet:
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path: /health
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port: 8000
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initialDelaySeconds: 60
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periodSeconds: 10
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failureThreshold: 12
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livenessProbe:
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httpGet:
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path: /health
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port: 8000
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initialDelaySeconds: 180
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periodSeconds: 30
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failureThreshold: 3
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readinessProbe:
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httpGet:
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path: /health
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port: 8000
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initialDelaySeconds: 60
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periodSeconds: 10
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failureThreshold: 3
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