Add Spreadsheet Docs (file).md
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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"
        }
    ]
}'

        
このコードブロックは、フローティングウィンドウに表示されます

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"
        }
    ]
}

        
このコードブロックは、フローティングウィンドウに表示されます

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.