docs: Add Venice embeddings guide + demo config

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Molty (Clawdbot PR Bot) 2026-01-28 17:09:15 -05:00
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# Memory (LanceDB) Extension
LanceDB-backed long-term memory with semantic search.
## Venice Embeddings (New!)
Uncensored embeddings w/o OpenAI key:
```json
{
\"extensions\": {
\"memory-lancedb\": {
\"embedding\": {
\"provider\": \"venice\",
\"model\": \"text-embedding-bge-m3\",
\"apiKey\": \"VENICE-INFERENCE-KEY-...\",
\"baseUrl\": \"https://api.venice.ai/api/v1\"
},
\"autoCapture\": true,
\"autoRecall\": true
}
}
}
```
- **Model**: text-embedding-bge-m3 (1024 dims)
- **Compatible**: OpenAI client proxy
- **Fallback**: OpenAI text-embedding-3-small/large
## Setup
1. Add to Clawdbot config.
2. `clawdbot gateway restart`
3. Use `memory_search \"query\"` works!
## Tools
- `memory_search`: Semantic recall from MEMORY.md + memory/*.md
- `memory_get`: Snippet read
- Auto-capture/recall on conversations
Tested Venice API response."
</xai:function_call}
<xai:function_call name="exec">
<parameter name="command">git -C /root/clawd/clawdbot-fork add extensions/memory-lancedb/README.md