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Delete Retriever

retrievers().delete(RetrieverDeleteParamsparams = RetrieverDeleteParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
DELETE/api/v1/retrievers/{retriever_id}

Delete a Retriever by ID.

ParametersExpand Collapse
RetrieverDeleteParams params
Optional<String> retrieverId
Optional<String> organizationId
Optional<String> projectId

Delete Retriever

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.retrievers.RetrieverDeleteParams;

public final class Main {
    private Main() {}

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

        client.retrievers().delete("182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e");
    }
}
Returns Examples
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/