Initial TEI deployment for Clawdbot memory search

README.md

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+# TEI - Text Embeddings Inference
+
+Lightweight embedding service for Clawdbot memory search.
+
+## Overview
+
+Runs [HuggingFace Text Embeddings Inference](https://github.com/huggingface/text-embeddings-inference) (TEI) on CPU to provide OpenAI-compatible embeddings for semantic memory search.
+
+- **Model:** `sentence-transformers/all-MiniLM-L6-v2` (~90MB, 384 dimensions)
+- **Endpoint:** `http://text-embeddings:8080/v1/embeddings`
+- **No GPU required**
+
+## Deploy
+
+```bash
+oc new-project tei
+oc apply -f deployment.yaml
+```
+
+## Clawdbot Config
+
+Add to `~/.clawdbot/clawdbot.json`:
+
+```json5
+{
+  "agents": {
+    "defaults": {
+      "memorySearch": {
+        "enabled": true,
+        "provider": "openai",
+        "model": "sentence-transformers/all-MiniLM-L6-v2",
+        "remote": {
+          "baseUrl": "http://text-embeddings.tei.svc.cluster.local:8080/v1/",
+          "apiKey": "not-needed"
+        }
+      }
+    }
+  }
+}
+```
+
+## Resources
+
+- **Memory:** 512Mi request, 1Gi limit
+- **CPU:** 250m request, 1000m limit
+- **Storage:** 1Gi PVC for model cache
+
+## Test
+
+```bash
+curl -X POST http://text-embeddings:8080/v1/embeddings \
+  -H "Content-Type: application/json" \
+  -d '{"input": "Hello world", "model": "sentence-transformers/all-MiniLM-L6-v2"}'
+```