POST
/
create
curl --location 'https://document-query.pyqai.com/create' \
--header 'Authorization: ExampleToken' \
--form 'account_id="ExampleAccountId"' \
--form 'index_name="Example New Index Name"' \
--form 'document_source="Example 1"' \
--form 'input_sequence=@"example_file_path.txt"'

{
    "response": "Successfully created index"
}

​
Form Data

​
input_sequence
file
required
This is the initial document you want to upload to your new index. Currently supported file types are md, pdf, and txt.
​
document_source
string
required
This is the name of the document you wish to insert into your new index.
​
account_id
int
required
This is your account ID.
​
index_name
string
This is the name of the index you wish to create. This parameter is optional - if left blank will use auto indexing.
​
embeddings_model
string
This is an optional parameter, allowing you to specify the name of the embeddings model you’d like to use. “mpnet” is the default model and value, “instructor” will use the Instructor XL embedding model instead.
​
instruction
string
This is an optional parameter that is required when using “instructor” as your embedding model. This will be used as the instruction with with to embed your documents.

​
Headers

​
Authorization
string
required
This is your API token associated with your account.

​
Response

​
response
string
Indicates whether the call was successful.
curl --location 'https://document-query.pyqai.com/create' \
--header 'Authorization: ExampleToken' \
--form 'account_id="ExampleAccountId"' \
--form 'index_name="Example New Index Name"' \
--form 'document_source="Example 1"' \
--form 'input_sequence=@"example_file_path.txt"'

{
    "response": "Successfully created index"
}