List Pipeline Document Chunks
Deprecated
GET/api/v1/pipelines/{pipeline_id}/documents/{document_id}/chunks
Return a list of chunks for a pipeline document.
List Pipeline Document Chunks
curl https://api.cloud.llamaindex.ai/api/v1/pipelines/$PIPELINE_ID/documents/$DOCUMENT_ID/chunks \
-H "Authorization: Bearer $LLAMA_CLOUD_API_KEY"[
{
"class_name": "class_name",
"embedding": [
0
],
"end_char_idx": 0,
"excluded_embed_metadata_keys": [
"string"
],
"excluded_llm_metadata_keys": [
"string"
],
"extra_info": {
"foo": "bar"
},
"id_": "id_",
"metadata_seperator": "metadata_seperator",
"metadata_template": "metadata_template",
"mimetype": "mimetype",
"relationships": {
"foo": {
"node_id": "node_id",
"class_name": "class_name",
"hash": "hash",
"metadata": {
"foo": "bar"
},
"node_type": "1"
}
},
"start_char_idx": 0,
"text": "text",
"text_template": "text_template"
}
]Returns Examples
[
{
"class_name": "class_name",
"embedding": [
0
],
"end_char_idx": 0,
"excluded_embed_metadata_keys": [
"string"
],
"excluded_llm_metadata_keys": [
"string"
],
"extra_info": {
"foo": "bar"
},
"id_": "id_",
"metadata_seperator": "metadata_seperator",
"metadata_template": "metadata_template",
"mimetype": "mimetype",
"relationships": {
"foo": {
"node_id": "node_id",
"class_name": "class_name",
"hash": "hash",
"metadata": {
"foo": "bar"
},
"node_type": "1"
}
},
"start_char_idx": 0,
"text": "text",
"text_template": "text_template"
}
]Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/