# Source: https://upstash.com/docs/vector/api/endpoints/resumable-query/start-with-vector.md

> ## Documentation Index
> Fetch the complete documentation index at: https://upstash.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Start with Vector

> Perform queries that can be resumed to fetch additional results.

<Tip>
  Resumable queries allow you to fetch results in batches, which is useful for
  large result sets or when you want to implement pagination.
</Tip>

## Request

<ParamField body="vector" type="number[]" required>
  The query vector
  <Note>The query vector should have the same dimensions as your index.</Note>
</ParamField>

<ParamField body="topK" type="number" default="10">
  The total number of the vectors that you want to receive as a query result.
  The response will be sorted based on the distance metric score, and at most
  `topK` many vectors will be returned.
</ParamField>

<ParamField body="includeMetadata" type="boolean" default="false">
  Whether to include the metadata of the vectors in the response, if any. It is
  recommended to set this to `true` to easily identify vectors.
</ParamField>

<ParamField body="includeVectors" type="boolean" default="false">
  Whether to include the vector values in the response. It is recommended to set
  this to `false` as the vector values can be quite big, and not needed most of
  the time.
</ParamField>

<ParamField body="includeData" type="boolean" default="false">
  Whether to include the data of the vectors in the response, if any.
</ParamField>

<ParamField body="filter" type="string" default="">
  [Metadata filter](/vector/features/filtering) to apply.
</ParamField>

<ParamField body="maxIdle" type="number">
  Maximum idle time for the resumable query in seconds.
</ParamField>

<ParamField body="weightingStrategy" type="string">
  For sparse vectors of sparse and hybrid indexes, specifies what kind of
  weighting strategy should be used while querying the matching non-zero
  dimension values of the query vector with the documents.

  If not provided, no weighting will be used.

  Only possible value is `IDF` (inverse document frequency).
</ParamField>

<ParamField body="fusionAlgorithm" type="string">
  Fusion algorithm to use while fusing scores
  from dense and sparse components of a hybrid index.

  If not provided, defaults to `RRF` (Reciprocal Rank Fusion).

  Other possible value is `DBSF` (Distribution-Based Score Fusion).
</ParamField>

## Path

<ParamField path="namespace" type="string" default="">
  The namespace to use. When no namespace is specified, the default namespace
  will be used.
</ParamField>

## Response

<ResponseField name="uuid" type="string" required>
  A unique identifier for the resumable query.
</ResponseField>

<ResponseField name="scores" type="Object[]">
  <Expandable defaultOpen="true">
    <ResponseField name="id" type="string" required>
      The id of the vector.
    </ResponseField>

    <ResponseField name="score" type="number" required>
      The similarity score of the vector, calculated based on the distance
      metric of your index.
    </ResponseField>

    <ResponseField name="vector" type="number[]">
      The dense vector value for dense and hybrid indexes.
    </ResponseField>

    <ResponseField name="sparseVector" type="Object[]">
      The sparse vector value for sparse and hybrid indexes.

      <Expandable defaultOpen="true">
        <ResponseField name="indices" type="number[]">
          Indices of the non-zero valued dimensions.
        </ResponseField>

        <ResponseField name="values" type="number[]">
          Values of the non-zero valued dimensions.
        </ResponseField>
      </Expandable>
    </ResponseField>

    <ResponseField name="metadata" type="Object">
      The metadata of the vector, if any.
    </ResponseField>

    <ResponseField name="data" type="string">
      The unstructured data of the vector, if any.
    </ResponseField>
  </Expandable>
</ResponseField>

<RequestExample>
  ```sh curl theme={"system"}
  curl $UPSTASH_VECTOR_REST_URL/resumable-query \
    -X POST \
    -H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
    -d '{
      "vector": [0.1, 0.2],
      "topK": 2,
      "includeMetadata": true,
      "maxIdle": 3600
    }'
  ```

  ```sh curl (Namespace) theme={"system"}
  curl $UPSTASH_VECTOR_REST_URL/resumable-query/ns \
    -X POST \
    -H "Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN" \
    -d '{
      "vector": [0.1, 0.2],
      "topK": 2,
      "includeMetadata": true,
      "maxIdle": 3600
    }'
  ```
</RequestExample>

<ResponseExample>
  ```json 200 OK theme={"system"}
  {
    "uuid": "550e8400-e29b-41d4-a716-446655440000",
    "scores": [
      {
        "id": "id-0",
        "score": 1.0,
        "metadata": {
          "link": "upstash.com"
        }
      },
      {
        "id": "id-1",
        "score": 0.99996454
      }
    ]
  }
  ```
</ResponseExample>