Documentation

Google Search Agent

The Google Search Agent component provides advanced integration with Google's search capabilities. It enables programmatic access to Google search results, allowing applications to retrieve and process search data with sophisticated controls.

Google Search Agent Component

Google Search Agent interface

Component Inputs

  • Language Model: Select language model for search processing

    Determines how search queries are interpreted and processed

  • Search Query: The text query to search for

    Required search term to be processed

  • Search Links: Additional search parameters or specific links

    Optional specific link targets for the search

  • Google API Key: Authentication key for Google Search API

    Required for accessing Google's search services

  • Google CSE ID: Custom Search Engine ID

    Required for programmatic Google search access

  • Number of Results: Maximum number of results to return

    Controls the quantity of search results (default: 5)

  • Chunk Size: Size of content chunks for processing

    Controls how search results are segmented (default: 1000)

  • Chunk Overlap: Overlap between content chunks

    Controls continuity between segments (default: 200)

Component Outputs

  • Search Results: Structured search results from Google

Use Cases

  • Automated Research: Programmatically gather information on specific topics
  • Content Enrichment: Enhance content with relevant search data
  • Competitive Intelligence: Monitor and analyze competitor information
  • Data Aggregation: Collect and process information from various sources
  • Trend Analysis: Track emerging topics and trends through search data
  • AI Training: Gather data for training AI models with diverse information

Best Practices

  • Use specific, focused search queries for more relevant results
  • Implement proper API key security measures to protect credentials
  • Monitor and adhere to Google API usage quotas and rate limits
  • Optimize chunk size and overlap based on your content processing needs
  • Cache frequently requested search results to reduce API calls
  • Use language models appropriate for the search context and language
  • Implement proper error handling for API response issues
  • Respect Google's terms of service and usage policies