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