Grep File
$ llamacloud-prod beta:retrieval grep
POST/api/v1/retrieval/files/grep
Grep File
llamacloud-prod beta:retrieval grep \
--api-key 'My API Key' \
--file-id file_id \
--index-id idx-abc123 \
--pattern 'revenue|profit'{
"items": [
{
"content": "content",
"end_char": 0,
"start_char": 0
}
],
"next_page_token": "next_page_token",
"total_size": 0
}Returns Examples
{
"items": [
{
"content": "content",
"end_char": 0,
"start_char": 0
}
],
"next_page_token": "next_page_token",
"total_size": 0
}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/