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