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vectors.upload

Uploads one or more precomputed vectors to a vector namespace. Each vector length must match the namespace vector_dimension set at creation. Poll Upload Job Status with the returned job_id. 
client.vectors.upload(
    namespace_name: str,
    *,
    vectors: list[dict],
) -> dict[str, Any]
The * means vectors is keyword-only. Extra fields on each vector (for example source) are stored as metadata for search filters.
API: POST /namespaces/{namespace_name}/vectors — see Upload vectors

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Parameters

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namespace_name
string
required
Target vector namespace.
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vectors
array
required
Non-empty array of vector objects.
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vectors[].id
string
required
Item id, unique within this namespace.
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vectors[].vector
array
required
Array of finite numbers. Length must equal the namespace vector_dimension.
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vectors[].{metadata}
any
Optional additional keys on each vector are saved as metadata (for example "source": "demo").

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Examples

from moorcheh import MoorchehClient, MoorchehApiError

with MoorchehClient("http://localhost:8080") as client:
    try:
        resp = client.vectors.upload(
            "my-embeddings",
            vectors=[
                {
                    "id": "vec-1",
                    "vector": [0.1] * 768,
                    "source": "demo",
                },
            ],
        )
        job_id = resp["job_id"]
    except MoorchehApiError as e:
        if e.is_item_limit_exceeded:
            print(e.body)
        else:
            raise
Poll with vectors.upload_job_status.

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Returns

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status
string
"success" when the upload job was started.
​
message
string
Human-readable result description.
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job_id
string
Id of the async upload job. Poll vectors.upload_job_status with this value.
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namespace_name
string
Namespace the vectors are being uploaded to.
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total
number
Number of vectors accepted into the upload job.
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items
number
Current total item count on the instance. Present on 409 item limit errors in MoorchehApiError.body.
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max_items
number
Global item cap for this instance. Present on 409 item limit errors.
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requested_new
number
Number of new item ids in the request that would exceed the cap. Present on 409 item limit errors.
Example return value
{
  "status": "success",
  "message": "Vectors upload started. Poll job status for progress.",
  "job_id": "job-d044a3bf6c0e4380bf6ad7e9df7999d0",
  "namespace_name": "my-embeddings",
  "total": 1,
}

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Error Handling

Non-2xx responses raise MoorchehApiError. Use e.is_item_limit_exceeded for 409 quota errors. 
from moorcheh import MoorchehClient, MoorchehApiError

try:
    with MoorchehClient() as client:
        client.vectors.upload("my-embeddings", vectors=[...])
except MoorchehApiError as e:
    print(e.status_code, e.body)
StatusCause
400Empty vectors, missing id/vector, non-finite values, dimension mismatch, or wrong namespace type
404Namespace not found
409Global item limit would be exceeded (job not started)
  • At most 100,000 items total across all namespaces
  • 409 is returned before the job starts if new ids would exceed the cap
  • Re-uploading an existing id in the same namespace updates the item and does not consume extra quota
  • Vector values must be finite (no NaN or Infinity)