Initial TEI deployment for Clawdbot memory search

This commit is contained in:
Clawdbot
2026-01-30 02:55:56 +00:00
commit 85764de991
3 changed files with 139 additions and 0 deletions

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deployment.yaml Normal file
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---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: tei-model-cache
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: text-embeddings
labels:
app: text-embeddings
spec:
replicas: 1
selector:
matchLabels:
app: text-embeddings
template:
metadata:
labels:
app: text-embeddings
spec:
containers:
- name: tei
image: ghcr.io/huggingface/text-embeddings-inference:cpu-1.5
args:
- --model-id
- sentence-transformers/all-MiniLM-L6-v2
- --port
- "8080"
ports:
- containerPort: 8080
resources:
requests:
memory: "512Mi"
cpu: "250m"
limits:
memory: "1Gi"
cpu: "1000m"
volumeMounts:
- name: model-cache
mountPath: /data
env:
- name: HF_HOME
value: /data
readinessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 60
periodSeconds: 30
volumes:
- name: model-cache
persistentVolumeClaim:
claimName: tei-model-cache
---
apiVersion: v1
kind: Service
metadata:
name: text-embeddings
spec:
selector:
app: text-embeddings
ports:
- port: 8080
targetPort: 8080