Create Corpus

Creates a new corpus in Vectara.

POST

Query

Field selectionChoose which fields should be included in the response. Learn more

string

Comma-separated response fields to include.

Body

Arguments

stringrequired

Unique key for the new corpus.

string

Display name for the corpus.

string

Description of the corpus.

boolean

Whether queries to this corpus should be saved by default.

Uncommon arguments

boolean

Treat queries as answers instead of questions.

boolean

Treat indexed documents as questions instead of answers.

string

Encoder name to use for the corpus.

array of object

Filter attribute definitions for the corpus.

array of object

Custom dimension definitions for the corpus.

Try this request

Request

curl --request POST \
  --url "https://connect.mindcloud.co/v1/universal/vectara/0.0.2/actions/create-corpus" \
  --header "Authorization: Bearer $MINDCLOUD_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "connectionId": "$CONNECTION_ID",
  "key": ""
}'

{
  "success": true,
  "data": [
    {
      "chat_history_corpus": true,
      "created_at": "2026-05-07T12:00:00.000Z",
      "custom_dimensions": [
        {}
      ],
      "description": "string",
      "documents_are_questions": true,
      "enabled": true,
      "encoder_id": "string",
      "encoder_name": "string",
      "filter_attributes": [
        {}
      ],
      "id": "string",
      "key": "string",
      "limits": {},
      "name": "Ava Chen",
      "queries_are_answers": true,
      "save_history": true
    }
  ],
  "meta": {}
}

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