curl -X GET 'https://api.elevenlabs.io/v1/convai/knowledge-base/documentation-id/chunks?embedding_model=e5_mistral_7b_instruct&page_size=30&cursor=example-cursor' \
  -H "xi-api-key: $ELEVENLABS_API_KEY"

# GET /v1/convai/knowledge-base/{documentation_id}/chunks (ElevenLabs API)
Base URL: https://api.elevenlabs.io
Auth: xi-api-key: <ELEVENLABS_API_KEY>
Last verified: 2026-10-20

> Get All Rag Chunks For A Document

## Critical Gotchas
* Authentication uses the non-standard `xi-api-key` header, not `Authorization: Bearer`. Sending a Bearer token returns HTTP 401.
* Text-to-speech responses are raw binary audio, not JSON. Write the body to a file (`--output speech.mp3`) rather than parsing it.

## cURL
curl -X GET 'https://api.elevenlabs.io/v1/convai/knowledge-base/documentation-id/chunks?embedding_model=e5_mistral_7b_instruct&page_size=30&cursor=example-cursor' \
  -H "xi-api-key: $ELEVENLABS_API_KEY"

## Parameters
| Name | In | Type | Required | Description |
| :--- | :--- | :--- | :--- | :--- |
| documentation_id | path | string | Yes | The id of a document from the knowled... |
| embedding_model | query | string | Yes | The embedding model used to retrieve... |
| page_size | query | integer | No | How many documents to return at maxim... |
Other params: cursor

## Response (200 OK)
{"chunks":[{"id":"string","name":"string","content":"string"}],"next_cursor":"string"}

---
Need an API key? Get one at https://elevenlabs.io/app/sign-up

GET

GET /v1/convai/knowledge-base/{documentation_id}/chunks — ElevenLabs API

ElevenLabs API

Get All Rag Chunks For A Document

Base URL: https://api.elevenlabs.io
Auth: xi-api-key: <ELEVENLABS_API_KEY>
Last verified: 2026-10-20 · upstream hash matched

Actions Try in browser→

Agents: curl -H "Accept: text/markdown" this URL
→ 215 tokens · Vary: Accept

Critical gotchas

Authentication uses the non-standard xi-api-key header, not Authorization: Bearer. Sending a Bearer token returns HTTP 401.

Text-to-speech responses are raw binary audio, not JSON. Write the body to a file (--output speech.mp3) rather than parsing it.

cURL

curl -X GET 'https://api.elevenlabs.io/v1/convai/knowledge-base/documentation-id/chunks?embedding_model=e5_mistral_7b_instruct&page_size=30&cursor=example-cursor' \  -H "xi-api-key: $ELEVENLABS_API_KEY"

Parameters

Name	In	Type	Required	Description
documentation_id	path	string	Yes	The id of a document from the knowledge base. This is returned on document addition.
embedding_model	query	string	Yes	The embedding model used to retrieve the chunk.
page_size	query	integer	No	How many documents to return at maximum. Can not exceed 100, defaults to 30.
cursor	query	string	No	Used for fetching next page. Cursor is returned in the response.

Response 200 OK

{
  "chunks": [
    {
      "id": "string",
      "name": "string",
      "content": "string"
    }
  ],
  "next_cursor": "string"
}

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