Deep Research
NeuraAI’s deep research capabilities enable comprehensive analysis and investigation of complex topics. These specialized models can conduct multi-source research, synthesize information, and provide detailed analytical reports.
Overview
Deep research models are designed for tasks that require:
- Comprehensive information gathering from multiple sources
- Critical analysis and synthesis of data
- Detailed, evidence-based conclusions
- Citation of sources and supporting evidence
Basic Usage
Available Tools
Web Search
Enables the model to search for current information online:
Code Interpreter
Allows the model to execute code for data analysis:
Combined Approach
Use multiple tools for comprehensive research:
Example Use Cases
Market Research
Scientific Literature Review
Competitive Analysis
Data-Driven Analysis
Best Practices
Clear Research Objectives
Define what you want to learn and what constitutes a complete answer:
Specify Source Quality
Guide the model toward reliable sources:
Request Structure
Ask for organized, actionable output:
Timeout Considerations
Research tasks can take significant time. Set appropriate timeouts:
Tips for Effective Research
- Be specific about the scope and depth required
- Request citations and source verification
- Ask for data visualizations when analyzing numbers
- Specify the format you need (report, summary, bullet points)
- Set realistic timeouts for complex queries
- Review and verify critical findings independently