Upsert Batch Pipeline Documents
Deprecated
client.pipelines.documents.upsert(stringpipelineID, DocumentUpsertParams { body } params, RequestOptionsoptions?): DocumentUpsertResponse { id, metadata, text, 4 more }
PUT/api/v1/pipelines/{pipeline_id}/documents
Upsert Batch Pipeline Documents
import LlamaCloud from '@llamaindex/llama-cloud';
const client = new LlamaCloud({
apiKey: process.env['LLAMA_CLOUD_API_KEY'], // This is the default and can be omitted
});
const cloudDocuments = await client.pipelines.documents.upsert(
'182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e',
{
body: [
{
metadata: { foo: 'bar' },
text: 'text',
},
],
},
);
console.log(cloudDocuments);[
{
"id": "id",
"metadata": {
"foo": "bar"
},
"text": "text",
"excluded_embed_metadata_keys": [
"string"
],
"excluded_llm_metadata_keys": [
"string"
],
"page_positions": [
0
],
"status_metadata": {
"foo": "bar"
}
}
]Returns Examples
[
{
"id": "id",
"metadata": {
"foo": "bar"
},
"text": "text",
"excluded_embed_metadata_keys": [
"string"
],
"excluded_llm_metadata_keys": [
"string"
],
"page_positions": [
0
],
"status_metadata": {
"foo": "bar"
}
}
]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/