Add Chunks (Text).md

Add knowledge blocks to text documents. The system will sequentially perform chunking/slicing, embedding/vectorization, and finally add new knowledge blocks to the document.

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

Request Method

POST

Request URL

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

Request Authentication

See Overview for authentication details.

Request

Request Example

curl --location 'https://api.gptbots.ai/v1/bot/doc/chunks/add' \ --header 'Authorization: Bearer YOUR_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "doc_id": "675174292b8b977ba6316191", "chunks": [ { "content": "This is a chunk.", "keywords": ["This","chunk"] } ] }'

          curl --location 'https://api.gptbots.ai/v1/bot/doc/chunks/add' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
    "doc_id": "675174292b8b977ba6316191",
    "chunks": [
        {
            "content": "This is a chunk.",
            "keywords": ["This","chunk"]
        }
    ]
}'

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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	Type	Required	Description
doc_id	String	Yes	The ID of the document to which the knowledge block will be added.
chunks	Array	Yes	The content of the knowledge blocks.
content	String	Yes	The content of the knowledge block, up to 1000 Tokens long.
keywords	Array	No	The keywords for the knowledge block.

Response

Response Example

{ "code": 0, "message": "OK" }

          {
    "code": 0,
    "message": "OK"
}

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Success Response

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

Failure Response

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