37 lines
998 B
Markdown
37 lines
998 B
Markdown
# Query Agent - Ask Mode
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Generate AI-powered answers with source citations using the Weaviate Query Agent.
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## Usage
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```bash
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uv run scripts/ask.py --query "USER_QUESTION" --collections "Collection1,Collection2" [--json]
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```
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## Parameters
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| Parameter | Flag | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| `--query` | `-q` | Yes | — | Natural language question |
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| `--collections` | `-c` | Yes | — | Comma-separated collection names to query across |
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| `--json` | — | No | `false` | Output in JSON format |
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## Output
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- **Default**: Markdown-formatted answer with a sources table
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- **JSON**: Structured response with `answer` and `sources` fields
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## Examples
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Ask a question across multiple collections:
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```bash
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uv run scripts/ask.py --query "What are the main topics in the dataset?" --collections "Articles,Reports"
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```
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JSON output:
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```bash
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uv run scripts/ask.py --query "Summarize recent findings" --collections "Research" --json
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```
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