Retrieve
$ llamacloud-prod beta:retrieval retrieve
POST/api/v1/retrieval/retrieve
Retrieve relevant chunks via hybrid search (vector + full-text), with filtering on built-in or user-defined metadata.
Retrieve
llamacloud-prod beta:retrieval retrieve \
--api-key 'My API Key' \
--index-id idx-abc123 \
--query 'What are the key findings?'{
"results": [
{
"content": "content",
"metadata": {
"foo": "string"
},
"rerank_score": 0,
"score": 0,
"static_fields": {
"attachments": [
{
"attachment_name": "attachment_name",
"source_id": "source_id",
"type": "type"
}
],
"chunk_end_char": 0,
"chunk_index": 0,
"chunk_start_char": 0,
"chunk_token_count": 0,
"page_range_end": 0,
"page_range_start": 0,
"parsed_directory_file_id": "parsed_directory_file_id"
}
}
]
}Returns Examples
{
"results": [
{
"content": "content",
"metadata": {
"foo": "string"
},
"rerank_score": 0,
"score": 0,
"static_fields": {
"attachments": [
{
"attachment_name": "attachment_name",
"source_id": "source_id",
"type": "type"
}
],
"chunk_end_char": 0,
"chunk_index": 0,
"chunk_start_char": 0,
"chunk_token_count": 0,
"page_range_end": 0,
"page_range_start": 0,
"parsed_directory_file_id": "parsed_directory_file_id"
}
}
]
}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/