Deep Research Node

The Deep Research node is designed for comprehensive, time-intensive research tasks. It leverages specialized research-focused AI models that can perform deep analysis, fact-checking, and extensive information gathering with built-in web search capabilities.

Configuration

Input Schema

Configuration Schema

Output Schema

Key Features

• Extended Timeout: 60-minute timeout for comprehensive research
• Research-Optimized Models: Specialized models designed for deep investigation
• Web Search Integration: Built-in capability to search and analyze web sources
• Structured Output: Results formatted in clear, readable markdown
• Advanced Telemetry: Detailed tracking for research workflows

Basic Usage

Simple Research Query

- id: research_topic
  type: deep-research
  input:
    prompt: "Research the latest developments in renewable energy storage technologies"
  configuration:
    provider: "perplexity"
    model: "sonar-deep-research"

Market Analysis

- id: market_research
  type: deep-research
  input:
    prompt: |
      Conduct a comprehensive market analysis for electric vehicles in 2024:
      - Market size and growth trends
      - Key players and market share
      - Technology developments
      - Consumer adoption patterns
      - Regulatory landscape
      - Future outlook and projections

Advanced Examples

- id: competitor_analysis
  type: deep-research
  input:
    prompt: |
      Research {{ company_name }}'s main competitors in the {{ industry }} sector:
      
      For each competitor, analyze:
      - Business model and revenue streams
      - Market positioning and strategy
      - Recent product launches or innovations
      - Financial performance and funding
      - Strengths and weaknesses
      - Strategic partnerships
      
      Provide insights on market trends and opportunities.
  configuration:
    provider: "perplexity"
    model: "sonar-deep-research"

- id: tech_research
  type: deep-research
  input:
    prompt: |
      Research the current state and future prospects of {{ technology }}:
      
      Cover the following aspects:
      - Technical specifications and capabilities
      - Current implementations and use cases
      - Advantages and limitations
      - Industry adoption rates
      - Research and development trends
      - Regulatory considerations
      - Investment and funding landscape
      - Expert opinions and predictions
      
      Include specific examples, statistics, and credible sources.

- id: investment_analysis
  type: deep-research
  input:
    prompt: |
      Conduct thorough due diligence research on {{ investment_target }}:
      
      Research areas:
      - Company background and history
      - Financial performance and metrics
      - Management team and governance
      - Market opportunity and competition
      - Risk factors and challenges
      - Growth strategy and pipeline
      - Industry trends and outlook
      - Analyst opinions and ratings
      
      Provide a balanced assessment with both opportunities and risks.
  configuration:
    provider: "google"
    model: "gemini-2.5-pro"

Research Pipeline with Follow-up Analysis

- id: initial_research
  type: deep-research
  input:
    prompt: "Research {{ research_topic }} and identify the top 5 most important findings"

- id: detailed_analysis
  type: deep-research
  input:
    prompt: |
      Based on this initial research:
      {{ initial_research.output }}
      
      Conduct deeper analysis on each of the top 5 findings:
      - Verify information with multiple sources
      - Identify potential biases or limitations
      - Explore counterarguments or alternative perspectives
      - Provide additional context and implications
      - Suggest areas for further investigation

- id: synthesis_report
  type: ai
  input:
    prompt: |
      Create a comprehensive executive summary from this research:
      
      Initial findings: {{ initial_research.output }}
      Detailed analysis: {{ detailed_analysis.output }}
      
      Structure the summary with:
      - Key insights and conclusions
      - Supporting evidence and sources
      - Implications and recommendations
      - Areas of uncertainty or further research needed

Provider Comparison

Perplexity (Default)

• Sonar Deep Research: Specialized for comprehensive research tasks
• Web Search Integration: Real-time access to current information
• Source Citation: Automatic attribution of sources
• Best For: Current events, market research, fact-checking

Google

• Gemini Models: Advanced reasoning and analysis capabilities
• Multimodal Support: Can process various content types
• Large Context: Handle extensive research materials
• Best For: Complex analysis, technical research, academic inquiries

Best Practices

Research Query Optimization

• Be Specific: Clearly define the scope and objectives of your research
• Structure Requests: Use bullet points or numbered lists for complex queries
• Include Context: Provide relevant background information when needed
• Specify Format: Request specific output formats (e.g., tables, summaries)

Workflow Integration

• Chain Research: Use multiple deep research nodes for iterative investigation
• Validate Findings: Follow up with fact-checking or source verification
• Synthesize Results: Combine multiple research outputs for comprehensive reports
• Version Control: Track research iterations and updates

Performance Considerations

• Timeout Awareness: Deep research can take up to 60 minutes
• Resource Planning: Consider the computational cost of extensive research
• Parallel Processing: Use multiple nodes for different research aspects
• Caching Strategy: Store results to avoid redundant research

Related Nodes

• AI Node: For general AI text processing and analysis
• Search Node: For basic web search functionality
• Crawler Node: For structured web data extraction
• HTTP Node: For API-based data gathering