Add Chunks (Text).md
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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. |