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docs: add Chroma embedding docs and complete Japanese rerank documentation

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huanghuoguoguo
2026-04-20 23:56:37 +08:00
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en/usage/models/readme.mdx
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@@ -46,6 +46,12 @@ The system has integrated the official embedding model provided by seekdb, no pa
- Click "Save" to use it immediately;
- Then select this model in your knowledge base to take effect.
### Using Chroma Built-in Embedding Model (Zero Configuration)
The system has integrated Chroma's built-in embedding model (all-MiniLM-L6-v2), no parameters required.
- On the "Embedding Model" page, select "chroma-built-in";
- Click "Save" to use it immediately;
- Then select this model in your knowledge base to take effect.
### Rerank Model
Rerank models re-score RAG retrieval results to significantly improve the precision of knowledge base answers. When a knowledge base returns multiple candidate documents, the rerank model uses a cross-encoder to precisely score each document's relevance to the query, selecting only the most relevant content.