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RetrievalReadResponse beta().retrieval().read(RetrievalReadParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
POST/api/v1/retrieval/files/read
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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.retrieval.RetrievalReadParams;
import com.llamacloud_prod.api.models.beta.retrieval.RetrievalReadResponse;
public final class Main {
private Main() {}
public static void main(String[] args) {
LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();
RetrievalReadParams params = RetrievalReadParams.builder()
.fileId("file_id")
.indexId("idx-abc123")
.build();
RetrievalReadResponse response = client.beta().retrieval().read(params);
}
}{
"content": "content"
}Returns Examples
{
"content": "content"
}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/