Get RAG chunks for a document

curl -G https://api.elevenlabs.io/v1/convai/knowledge-base/documentation_id/chunks \
     -H "xi-api-key: sk-1234567890abcdef1234567890abcdef" \
     -H "Content-Type: application/json" \
     -d embedding_model=e5_mistral_7b_instruct \
     -d page_size=30

{
  "chunks": [
    {
      "id": "chunk_001",
      "name": "Introduction to Conversational AI",
      "content": "Conversational AI refers to technologies that enable computers to simulate real human conversations. It includes chatbots, virtual assistants, and voice-enabled devices."
    },
    {
      "id": "chunk_002",
      "name": "Knowledge Base Document Structure",
      "content": "A knowledge base document is divided into multiple chunks to facilitate efficient retrieval and response generation in RAG systems."
    },
    {
      "id": "chunk_003",
      "name": "Embedding Models Overview",
      "content": "Embedding models convert text into numerical vectors that capture semantic meaning, enabling similarity search and retrieval."
    }
  ],
  "next_cursor": "eyJwYWdlIjoxfQ=="
}

curl -G https://api.elevenlabs.io/v1/convai/knowledge-base/documentation_id/chunks \
     -H "xi-api-key: sk-1234567890abcdef1234567890abcdef" \
     -H "Content-Type: application/json" \
     -d embedding_model=e5_mistral_7b_instruct \
     -d page_size=30

{
  "chunks": [
    {
      "id": "chunk_001",
      "name": "Introduction to Conversational AI",
      "content": "Conversational AI refers to technologies that enable computers to simulate real human conversations. It includes chatbots, virtual assistants, and voice-enabled devices."
    },
    {
      "id": "chunk_002",
      "name": "Knowledge Base Document Structure",
      "content": "A knowledge base document is divided into multiple chunks to facilitate efficient retrieval and response generation in RAG systems."
    },
    {
      "id": "chunk_003",
      "name": "Embedding Models Overview",
      "content": "Embedding models convert text into numerical vectors that capture semantic meaning, enabling similarity search and retrieval."
    }
  ],
  "next_cursor": "eyJwYWdlIjoxfQ=="
}

Get all RAG chunks for a specific knowledge base document.

Path parameters

documentation_idstringRequired

The id of a document from the knowledge base. This is returned on document addition.

Query parameters

embedding_modelenumRequiredDefaults to e5_mistral_7b_instruct

The embedding model used to retrieve the chunk.

Allowed values:

page_sizeintegerOptional1-100Defaults to 30

How many documents to return at maximum. Can not exceed 100, defaults to 30.

cursorstring or nullOptional

Used for fetching next page. Cursor is returned in the response.

Response

Successful Response

chunkslist of objects

next_cursorstring or null

Errors

422

Unprocessable Entity Error

Get RAG chunks for a document

Path parameters

Headers

Query parameters

Response

Errors

Path parameters

Headers

Query parameters

Response

Errors

$	curl -G https://api.elevenlabs.io/v1/convai/knowledge-base/documentation_id/chunks \
>	-H "xi-api-key: sk-1234567890abcdef1234567890abcdef" \
>	-H "Content-Type: application/json" \
>	-d embedding_model=e5_mistral_7b_instruct \
>	-d page_size=30

1	{
2	"chunks": [
3	{
4	"id": "chunk_001",
5	"name": "Introduction to Conversational AI",
6	"content": "Conversational AI refers to technologies that enable computers to simulate real human conversations. It includes chatbots, virtual assistants, and voice-enabled devices."
7	},
8	{
9	"id": "chunk_002",
10	"name": "Knowledge Base Document Structure",
11	"content": "A knowledge base document is divided into multiple chunks to facilitate efficient retrieval and response generation in RAG systems."
12	},
13	{
14	"id": "chunk_003",
15	"name": "Embedding Models Overview",
16	"content": "Embedding models convert text into numerical vectors that capture semantic meaning, enabling similarity search and retrieval."
17	}
18	],
19	"next_cursor": "eyJwYWdlIjoxfQ=="
20	}