1.1 KiB
1.1 KiB
description, argument-hint
| description | argument-hint |
|---|---|
| Query store with natural language RAG | prompt --store name |
Query a Gemini File Search store with natural language using RAG (Retrieval-Augmented Generation).
Usage
gemini-file-search-tool query "PROMPT" --store "STORE_NAME" [OPTIONS]
Arguments
PROMPT: Natural language query (required, positional)--store NAME: Store to query (required)--query-model {flash|pro}: Query model (default: flash)--query-grounding-metadata: Include source citations--show-cost: Show token usage and cost-v/-vv/-vvv: Verbosity levels
Examples
# Basic query
gemini-file-search-tool query "What is DORA?" --store "papers"
# Query with citations and cost tracking
gemini-file-search-tool query "How does authentication work?" \
--store "codebase" --query-grounding-metadata --show-cost -v
# Query with Pro model
gemini-file-search-tool query "Explain the architecture" \
--store "docs" --query-model pro
Output
Returns JSON with response_text, usage_metadata, grounding_metadata (if requested), and estimated_cost (if requested).