research

The research function performs deep topic research with source citations.

Import

from openstackai import research

Basic Usage

# Simple research
results = research("machine learning trends 2024")

# With specific depth
results = research("quantum computing", depth="deep")

# Async version  
results = await research.async_("AI ethics")

Parameters

Parameter	Type	Default	Description
topic	str	required	Topic to research
depth	str	"normal"	Research depth: "quick", "normal", "deep"
sources	int	5	Number of sources to include
format	str	"markdown"	Output format

Return Value

Returns a structured research report with:

• Summary
• Key findings
• Source citations
• Further reading suggestions

Examples

Basic Research

from openstackai import research

# Quick research
report = research("Python async programming")
print(report)

Deep Research

# Comprehensive research with more sources
report = research(
    "artificial general intelligence",
    depth="deep",
    sources=10
)

Async Research

import asyncio
from openstackai import research

async def main():
    report = await research.async_("blockchain technology")
    print(report)

asyncio.run(main())

Output Format

# Research: Machine Learning Trends 2024

## Summary
Machine learning continues to evolve with focus on...

## Key Findings
1. Large Language Models dominate...
2. Edge ML gaining traction...

## Sources
- [Source 1](https://example.com)
- [Source 2](https://example.com)

## Further Reading
- Topic A
- Topic B

See Also

• [[ask]] - Simple question answering
• [[summarize]] - Text summarization
• [[analyze]] - Data analysis