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Get Pipeline Document

Deprecated
CloudDocument pipelines().documents().get(DocumentGetParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
GET/api/v1/pipelines/{pipeline_id}/documents/{document_id}

Return a single document for a pipeline.

ParametersExpand Collapse
DocumentGetParams params
String pipelineId
Optional<String> documentId
ReturnsExpand Collapse
class CloudDocument:

Cloud document stored in S3.

String id
Metadata metadata
String text
Optional<List<String>> excludedEmbedMetadataKeys
Optional<List<String>> excludedLlmMetadataKeys
Optional<List<Long>> pagePositions

indices in the CloudDocument.text where a new page begins. e.g. Second page starts at index specified by page_positions[1].

Optional<StatusMetadata> statusMetadata

Get Pipeline Document

package com.llamacloud_prod.api.example;

import com.llamacloud_prod.api.client.LlamaCloudClient;
import com.llamacloud_prod.api.client.okhttp.LlamaCloudOkHttpClient;
import com.llamacloud_prod.api.models.pipelines.documents.CloudDocument;
import com.llamacloud_prod.api.models.pipelines.documents.DocumentGetParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();

        DocumentGetParams params = DocumentGetParams.builder()
            .pipelineId("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e")
            .documentId("document_id")
            .build();
        CloudDocument cloudDocument = client.pipelines().documents().get(params);
    }
}
{
  "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/