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POST
/
search
/
vector
Vector image search
curl --request POST \
  --url https://api.managem.co.uk/search/vector \
  --header 'Content-Type: application/json' \
  --data '
{
  "limit": 3,
  "vectors": [
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  ]
}
'
{
  "count": 2,
  "matches": [
    {
      "score": 0.9987,
      "urn": "urn:managem:pokemon:set/151/card/25",
      "game": "Pokemon",
      "title": "151: Pikachu",
      "number": "25",
      "image": "https://images.managem.co.uk/urn:managem:pokemon:set/151/card/25/image/0"
    },
    {
      "score": 0.9921,
      "urn": "urn:managem:pokemon:set/base-set/card/58",
      "game": "Pokemon",
      "title": "Base Set: Pikachu",
      "number": "58",
      "image": "https://images.managem.co.uk/urn:managem:pokemon:set/base-set/card/58/image/0"
    }
  ]
}

Body

application/json

Request payload for similarity search using a precomputed trading card image embedding.

​
vectors
number[]
required

A 512-dimensional image embedding prepared from a single trading card image.

​
limit
integer

Maximum number of matches to return. Must be between 1 and 10. Defaults to 5.

Required range: 1 <= x <= 10
Example:

3

Response

Scored vector matches for the submitted image embedding

Similarity search results for a single trading card image embedding.

​
count
integer
required

Number of matches returned for the submitted vector.

Required range: x >= 0
​
matches
object[]
required

Scored vector matches sorted from most similar to least similar.