Install with pip. See it on pypi
pip install cherrry
From https://cherrry.com/dashboard/api to get your API Keys
Private keys start with ch_prv
keep it secret and never use it client-side. It has service role privilages: it can read + write data.
Public keys start with ch_pub
They're intended to be use client-side and have read-only privilages.
from cherrry import CherrryClient
initialize the client
client = CherrryClient("your_api_key")
A table is a collection of documents.
A document is respresented as a JSON object literal with three fields: text
, image
, and metadata
.
These fields are also JSON object literals, where the keys can be strings with any contents, and their values are also strings.
text
and image
are semantically searchable each by their type respectively. Each document must have either a text
or image
field. It can also have both fields.
metadata
is used to store additional information and for filtering (feature in progress), it is an optional field.
[success, error] = client.create_table("table_name")
Documents must be of the following form
{
"text": {
"a name for your text": "your desired text in a string"
},
"image": {
"a name for your image": "a url to your downloadable image"
},
"metadata": {
"key": "value"
}
}
for example:
[data, error] = client.table("recipes").insert({
"text": {
"name": "Octopus Cherry Pie"
},
"image": {
"preview": "https://i.imgur.com/lFC8p0L.jpeg"
},
"metadata": {
"author_name": "Davy Jones",
"author_email": "octo@pus.com"
}
})
[data, error] = client
.table("blogs")
.search({ "prompt": "sea creature desert", "size": 1, "search_type": "image" });
The ID of documents are returned in the responses of /search
or /doc
[data, error] = client.table("blogs").doc("1234")
[success, error] = client.table("blogs").delete("1234")