55 lines
1.2 KiB
Markdown
55 lines
1.2 KiB
Markdown
# TEI - Text Embeddings Inference
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Lightweight embedding service for Clawdbot memory search.
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## Overview
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Runs [HuggingFace Text Embeddings Inference](https://github.com/huggingface/text-embeddings-inference) (TEI) on CPU to provide OpenAI-compatible embeddings for semantic memory search.
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- **Model:** `BAAI/bge-base-en-v1.5` (~440MB, 768 dimensions, 512 token context)
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- **Endpoint:** `http://text-embeddings:8080/v1/embeddings`
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- **No GPU required**
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## Deploy
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```bash
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oc new-project tei
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oc apply -f deployment.yaml
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```
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## Clawdbot Config
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Add to `~/.clawdbot/clawdbot.json`:
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```json5
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{
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"agents": {
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"defaults": {
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"memorySearch": {
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"enabled": true,
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"provider": "openai",
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"model": "BAAI/bge-base-en-v1.5",
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"remote": {
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"baseUrl": "http://text-embeddings.tei.svc.cluster.local:8080/v1/",
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"apiKey": "not-needed"
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}
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}
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}
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}
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}
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```
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## Resources
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- **Memory:** 512Mi request, 1Gi limit
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- **CPU:** 250m request, 1000m limit
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- **Storage:** 1Gi PVC for model cache
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## Test
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```bash
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curl -X POST http://text-embeddings:8080/v1/embeddings \
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-H "Content-Type: application/json" \
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-d '{"input": "Hello world", "model": "BAAI/bge-base-en-v1.5"}'
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```
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