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"]
        }
    ]
}'

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

Response

Response Example

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

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

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
code	Int	Response code.
message	String	Response details.

Failure Response

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