GET
/
info
curl $UPSTASH_VECTOR_REST_URL/info \
  -H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN"
{
    "result": {
        "vectorCount": 7,
        "pendingVectorCount": 0,
        "indexSize": 43501,
        "dimension": 1536,
        "similarityFunction": "COSINE",
        "namespaces": {
            "": {
                "vectorCount": 6,
                "pendingVectorCount": 0
            },
            "ns": {
                "vectorCount": 1,
                "pendingVectorCount": 0
            }
        }
    }
}

Info will be updated eventually, so it might take some time to see the effect of changes in this endpoint.

Request

This request doesn’t require any additional data.

Response

vectorCount
number
required

The number of vectors in the index, that are ready to use. This is the total number of vectors across all namespaces.

pendingVectorCount
number
required

The number of vectors in the index, that are still processing and not ready to use. This is the total number of pending vectors across all namespaces.

indexSize
number
required

The total size of the index, in bytes.

dimension
number
required

Dimension of the vectors.

similarityFunction
string
required

Name of the similarity function used in indexing and queries.

namespaces
object
required

Map of namespace names to namespace .

Every index has at least one namespace called default namespace, whose name is the empty string "".
vectorCount
number
required

The number of vectors in the namespace, that are ready to use.

pendingVectorCount
number
required

The number of vectors in the namespace, that are still processing and not ready to use.

curl $UPSTASH_VECTOR_REST_URL/info \
  -H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN"
{
    "result": {
        "vectorCount": 7,
        "pendingVectorCount": 0,
        "indexSize": 43501,
        "dimension": 1536,
        "similarityFunction": "COSINE",
        "namespaces": {
            "": {
                "vectorCount": 6,
                "pendingVectorCount": 0
            },
            "ns": {
                "vectorCount": 1,
                "pendingVectorCount": 0
            }
        }
    }
}