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Get Index

IndexGetResponse beta().indexes().get(IndexGetParamsparams = IndexGetParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
GET/api/v1/indexes/{index_id}

Get an index by ID.

ParametersExpand Collapse
IndexGetParams params
Optional<String> indexId
Optional<String> organizationId
Optional<String> projectId
ReturnsExpand Collapse
class IndexGetResponse:

A searchable index over a directory of documents.

String id

Unique identifier

String exportConfigId

ID of the export configuration.

String name

Index name.

String outputDirectoryId

ID of the output directory holding the indexed files.

String projectId

Project this index belongs to.

String sourceDirectoryId

ID of the source directory.

String syncConfigId

ID of the sync configuration.

Optional<LocalDateTime> createdAt

Creation datetime

formatdate-time
Optional<String> description

Index description.

Optional<LocalDateTime> lastExportedAt

Last export time.

formatdate-time
Optional<LocalDateTime> lastSyncedAt

Last sync time.

formatdate-time
Optional<Metadata> metadata

Build state and diagnostic info.

Optional<LocalDateTime> updatedAt

Update datetime

formatdate-time

Get Index

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.beta.indexes.IndexGetParams;
import com.llamacloud_prod.api.models.beta.indexes.IndexGetResponse;

public final class Main {
    private Main() {}

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

        IndexGetResponse index = client.beta().indexes().get("index_id");
    }
}
{
  "id": "id",
  "export_config_id": "export_config_id",
  "name": "name",
  "output_directory_id": "output_directory_id",
  "project_id": "project_id",
  "source_directory_id": "source_directory_id",
  "sync_config_id": "sync_config_id",
  "created_at": "2019-12-27T18:11:19.117Z",
  "description": "description",
  "last_exported_at": "2019-12-27T18:11:19.117Z",
  "last_synced_at": "2019-12-27T18:11:19.117Z",
  "metadata": {
    "foo": "bar"
  },
  "updated_at": "2019-12-27T18:11:19.117Z"
}
Returns Examples
{
  "id": "id",
  "export_config_id": "export_config_id",
  "name": "name",
  "output_directory_id": "output_directory_id",
  "project_id": "project_id",
  "source_directory_id": "source_directory_id",
  "sync_config_id": "sync_config_id",
  "created_at": "2019-12-27T18:11:19.117Z",
  "description": "description",
  "last_exported_at": "2019-12-27T18:11:19.117Z",
  "last_synced_at": "2019-12-27T18:11:19.117Z",
  "metadata": {
    "foo": "bar"
  },
  "updated_at": "2019-12-27T18:11:19.117Z"
}
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/