Documentation

Tavily Search Agent

The Tavily Search Agent component provides enhanced AI-powered search capabilities through Tavily's specialized search technology. It enables intelligent, context-aware searching with language model integration for improved search relevance and result processing.

Tavily Search Agent Component

Tavily Search Agent interface

Component Inputs

  • Language Model: AI model for processing search queries and results

    Determines how search is interpreted and results are processed

  • Research Task: Specific research question or topic

    The research question or task to investigate

  • Max Revisions: Maximum number of search refinements (default: 1)

    Controls how many times the search can be refined

  • Tavily API Key: Authentication key for Tavily services

    Required for accessing Tavily's API

Component Outputs

  • Final Research Report: Comprehensive research findings based on the query

Use Cases

  • In-depth Research: Conduct comprehensive research on complex topics
  • Market Intelligence: Gather detailed market insights and trends
  • Competitive Analysis: Research competitors and industry landscapes
  • Academic Research: Support scholarly research with comprehensive searches
  • Trend Analysis: Identify emerging trends in specific domains
  • Question Answering: Find detailed answers to complex questions

Best Practices

  • Formulate clear, specific research questions for better results
  • Choose appropriate language models for the research domain
  • Increase max revisions for complex research topics
  • Use domain-specific terminology in research tasks
  • Review and refine search results for most accurate information
  • Combine with other research tools for comprehensive coverage
  • Store and organize research findings for future reference
  • Validate critical information across multiple sources