Install Bge M3
Download and install the search embedding model for hybrid search.
The model downloaded is platform-specific:
- macOS Apple Silicon: Qwen3-Embedding (~400MB, 4-bit quantized)
- Windows/Linux: BGE-M3 (~542MB, INT8 quantized)
This also deletes the old E5 embedding model to save space. After installation, run /search-index/reindex to build the index.
Request Body
application/json
download_source?string
Default
"auto"Value in
"huggingface" | "modelscope" | "auto"force_reinstall?boolean
Default
falseResponse Body
application/json
application/json
curl -X POST "http://127.0.0.1:14242/models/bge-m3/install" \ -H "Content-Type: application/json" \ -d '{}'{
"success": true,
"message": "string",
"reindex_required": true
}{
"detail": [
{
"loc": [
"string"
],
"msg": "string",
"type": "string",
"input": null,
"ctx": {}
}
]
}