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docs(memory): add ollama embedding guidance

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Gustavo Madeira Santana
2026-03-02 20:05:04 -05:00
parent 4241e8f7d8
commit 3453534652
4 changed files with 11 additions and 4 deletions
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docs/help/faq.md
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@@ -1299,12 +1299,13 @@ It prefers OpenAI if an OpenAI key resolves, otherwise Gemini if a Gemini key
resolves, then Voyage, then Mistral. If no remote key is available, memory
search stays disabled until you configure it. If you have a local model path
configured and present, OpenClaw
prefers `local`.
prefers `local`. Ollama is supported when you explicitly set
`memorySearch.provider = "ollama"`.
If you'd rather stay local, set `memorySearch.provider = "local"` (and optionally
`memorySearch.fallback = "none"`). If you want Gemini embeddings, set
`memorySearch.provider = "gemini"` and provide `GEMINI_API_KEY` (or
`memorySearch.remote.apiKey`). We support **OpenAI, Gemini, Voyage, Mistral, or local** embedding
`memorySearch.remote.apiKey`). We support **OpenAI, Gemini, Voyage, Mistral, Ollama, or local** embedding
models - see [Memory](/concepts/memory) for the setup details.
### Does memory persist forever What are the limits