Image datasets

Image datasets expect Base64 encoded images or image URLs as values. The transformation from images to vectors is done internally and your application doesn't have to worry about it.

Insert

POST https://api.anndb.com/v1/datasets/image/:dataset_name

Request

{
	"image": "data:image/jpeg;base64,/9j...",
	"metadata": {
		"key": "value",
		...
	}
}

Response

{
  "id": "2c44707c-acbf-49be-a8ef-a63028491f4c"
}

Update

PUT https://api.anndb.com/v1/datasets/image/:dataset_name/:id

Request

{
	"image": "https://live.staticflickr.com/65535/46797499615_95a0ef171b_w_d.jpg",
	"metadata": {
		"key": "value",
		...
	}
}

Response

{
  "id": "c6d04292-27c2-4cc2-90ca-16e2522c3217"
}

Delete

DELETE https://api.anndb.com/v1/datasets/image/:dataset_name/:id

Request

{}

Response

{
  "id": "c6d04292-27c2-4cc2-90ca-16e2522c3217"
}

Vector datasets

Vector datasets allow you to store your own vectors so that they can be efficiently queried later. The length of the vector field has to match the dimension specified when creating the dataset.

Insert

POST https://api.anndb.com/v1/datasets/vector/:dataset_name

Request

{
	"vector": [0.12, 0.34, 0.8, 0.56, ...],
	"metadata": {
		"key": "value",
		...
	}
}

Response

{
  "id": "2c44707c-acbf-49be-a8ef-a63028491f4c"
}

Update

PUT https://api.anndb.com/v1/datasets/vector/:dataset_name/:id

Request

{
	"vector": [0.12, 0.34, 0.8, 0.56, ...],
	"metadata": {
		"key": "value",
		...
	}
}

Response

{
  "id": "c6d04292-27c2-4cc2-90ca-16e2522c3217"
}

Delete

DELETE https://api.anndb.com/v1/datasets/vector/:dataset_name/:id

Request

{}

Response

{
  "id": "c6d04292-27c2-4cc2-90ca-16e2522c3217"
}

​