Update Text Docs (file)

Batch update documents using files. The system will sequentially perform chunking/slicing, embedding/vectorization, and finally replace the old document content with the new document content, while keeping the document ID unchanged.

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

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

Request Method

PUT

Request URL

https://api.gptbots.ai/v1/bot/doc/text/update

Request Authentication

See Overview for authentication details.

Request

Request Example

curl --location --request PUT 'https://api.gptbots.ai/v1/bot/doc/text/update' \ --header 'Authorization: Bearer YOUR_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "knowledge_base_id": "67457fea6f658672d6482542", "chunk_token": 600, "splitter": "\n", "files": [ { "doc_id": "675158a5af12af632a4f63f6", "file_url": "https://www.gptbots.ai/doc/article_1.pdf", "source_url": "https://www.gptbots.ai/doc/article_1.pdf", "file_name": "article_1" } ] }'

          curl --location --request PUT 'https://api.gptbots.ai/v1/bot/doc/text/update' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "knowledge_base_id": "67457fea6f658672d6482542",
    "chunk_token": 600,
    "splitter": "\n",
    "files": [
        {
            "doc_id": "675158a5af12af632a4f63f6",
            "file_url": "https://www.gptbots.ai/doc/article_1.pdf",
            "source_url": "https://www.gptbots.ai/doc/article_1.pdf",
            "file_name": "article_1"
        }
    ]
}'

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Request Headers

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	Type	Required	Description
files	Array	Yes	List of documents to be updated. Supports updating up to 200 documents simultaneously.
doc_id	String	Yes	The ID of the document to be updated.
file_url	String	No	The URL of the document to be updated. Supported formats: pdf/txt/md/doc/docx. Maximum size for PDF documents is 30MB, and for other formats 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 updated. Supported formats: pdf/txt/md/doc/docx. Maximum size for PDF documents is 30MB, and for other formats is 10MB. Note: Either URL or base64 must be provided. If both are provided, base64 takes precedence.
source_url	String	No	The source URL of the document to be updated. Must comply with URL format specifications. If empty, the system will not update this value. To set this value to empty, please enter `NULL`.
chunk_token	Integer	No	The maximum number of tokens for a single knowledge chunk during chunking. Default value is 600. Range: 1-1000. Note: Either maximum token count or splitter must be provided. If both are provided, splitter takes precedence.
splitter	String	No	The delimiter used during chunking. Default is empty. You can use “\n” as a line break delimiter. Note: Either maximum token count or splitter must be provided. If both are provided, splitter takes precedence.

Response

Response Example

{ "doc": [ { "doc_id": "xxxxxx", "doc_name": "test_1.txt" }, { "doc_id": "xxxxxx", "doc_name": "test_2.pdf" } ] }

          {
    "doc": [
        {
            "doc_id": "xxxxxx",
            "doc_name": "test_1.txt"
        },
        {
            "doc_id": "xxxxxx",
            "doc_name": "test_2.pdf"
        }
    ]
}

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Success Response

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

Failure Response

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