Start a project-wide vector store embedding migration
Start migrating every vector store the caller's project owns to a new embedding model.
The target model/dimension/sparse setting is taken only from this request — never from the server's global default embedding config, and never applied to it either (it stays a separate, server-wide administrator setting).
In: header
Header Parameters
Organization Id from OpenAi compatible endpoint. Required to organization access or project access (with OpenAI-Project header) when logged as User or Admin User.
Project Id from OpenAi compatible endpoint. Required to project access for organization api key or User / Admin User access with OpenAI-Organization
The target embedding model's dense vector dimension.
0 < valuefalseResponse Body
curl -X POST "https://deepfellow-server-host/v1/migrate" \ -H "OpenAI-Organization: string" \ -H "OpenAI-Project: string" \ -H "Content-Type: application/json" \ -d '{ "model": "string", "size": 0 }'{
"project_id": "5eb7cf5a86d9755df3a6c593",
"status": "idle",
"target": {
"model": "string",
"size": 0,
"sparse": false,
"max_context_size": 512
},
"attempt_id": "string",
"vector_store_ids": [],
"target_generation": 0,
"error": "string",
"created_at": 0,
"updated_at": 0,
"finished_at": 0,
"id": "5eb7cf5a86d9755df3a6c593"
}{
"detail": [
{
"loc": [
"string"
],
"msg": "string",
"type": "string",
"input": null,
"ctx": {}
}
]
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