# k8s/ai/tei/deploy.yaml
apiVersion: apps/v1
kind: Deployment
metadata: { name: tei, namespace: ml }
spec:
  replicas: 1
  selector: { matchLabels: { app: tei } }
  template:
    metadata: { labels: { app: tei } }
    spec:
      containers:
      - name: tei
        image: ghcr.io/huggingface/text-embeddings-inference:cpu-latest
        env: [{ name: MODEL_ID, value: "mixedbread-ai/mxbai-embed-large-v1" }]
        ports: [{ containerPort: 80 }]
---
apiVersion: v1
kind: Service
metadata: { name: tei, namespace: ml }
spec: { selector: { app: tei }, ports: [ { port: 80, targetPort: 80 } ] }
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: tei
  namespace: ml
  annotations: { cert-manager.io/cluster-issuer: letsencrypt-prod }
spec:
  ingressClassName: nginx
  tls: [{ hosts: ["embeddings.betelgeusebytes.io"], secretName: tei-tls }]
  rules:
  - host: embeddings.betelgeusebytes.io
    http:
      paths:
      - path: /
        pathType: Prefix
        backend: { service: { name: tei, port: { number: 80 } } }