Add Spreadsheet Docs (file).md

Batch upload tabular files, and sequentially execute chunking/slicing, embedding/vectorization, and storage.

Note: The embedding model used is the default model and cannot be defined within the API.

Note: Only return the upload results, not the final embedding results. You can obtain the final results through the "Query Document Status" API.

Request Method

POST

Request URL

https://api.gptbots.ai/v1/bot/doc/spreadsheet/add

Request Authentication

See Overview for authentication details.

Request

Request Example

curl --location 'https://api.gptbots.ai/v1/bot/doc/spreadsheet/add' \ --header 'Authorization: Bearer YOUR_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "knowledge_base_id": "67457fea6f658672d6482542", "chunk_token": 700, "header_row": 5, "files": [ { "file_url": "https://www.gptbots.ai/doc/spreadsheet_1.xlsx", "file_base64": "SGVsbG8sIEJhc2U2NCBFbmNvZGluZyE=", "source_url": "https://www.gptbots.ai/doc/spreadsheet_1.xlsx", "file_name": "spreadsheet_1" } ] }'

          curl --location 'https://api.gptbots.ai/v1/bot/doc/spreadsheet/add' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "knowledge_base_id": "67457fea6f658672d6482542",
    "chunk_token": 700,
  "header_row": 5,
    "files": [
        {
            "file_url": "https://www.gptbots.ai/doc/spreadsheet_1.xlsx",
            "file_base64": "SGVsbG8sIEJhc2U2NCBFbmNvZGluZyE=",
            "source_url": "https://www.gptbots.ai/doc/spreadsheet_1.xlsx",
            "file_name": "spreadsheet_1"
        }
    ]
}'

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Request Header

Field	Type	Description
Authorization	Bearer ${token}	Use `Authorization: Bearer ${token}` for authentication. Get the key from the API Keys page as token.
Content-Type	application/json	Data type, set to `application/json`.

Request Body

Field Name	Type	Required	Description
knowledge_base_id	String	No	The target knowledge base to which the document is added. If not filled, it defaults to "Default" knowledge base.
files	Array	Yes	List of documents to be added. Supports adding up to 20 documents simultaneously.
file_url	String	No	The URL of the document to be added. Supported formats: csv/xls/xlsx. Maximum size per document is 10MB. Note: Either URL or base64 must be provided. If both are provided, base64 takes precedence.
file_base64	String	No	The base64 of the document to be added. Supported formats: csv/xls/xlsx. Maximum size per document is 10MB. Note: Either URL or base64 must be provided. If both are provided, base64 takes precedence.
file_name	String	Yes	The name of the document to be added. 1-200 characters.
source_url	String	No	The source URL of the document to be added. Must comply with URL format specifications.
chunk_token	Integer	No	The maximum number of tokens per knowledge chunk when chunking. Default value is 600. Range is 1-1000.
header_row	Integer	No	The maximum number of header rows. Table documents are chunked based on "header + data rows". Default value is 1. Range is 1-5.

Response

Response Example

{ "doc": [ { "doc_id": "xxxxxx", "doc_name": "test_1.csv" }, { "doc_id": "xxxxxx", "doc_name": "test_2.xlsx" } ] }

          {
    "doc": [
        {
            "doc_id": "xxxxxx",
            "doc_name": "test_1.csv"
        },
        {
            "doc_id": "xxxxxx",
            "doc_name": "test_2.xlsx"
        }
    ]
}

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Success Response

Field	Type	Description
doc	Array	List of added documents.
doc_id	String	ID of the added document.
doc_name	String	Name of the added document.

Failure Response

Field	Type	Description
code	Int	Error code.
message	String	Error details.