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Bink AI Deep Analyze Tool

Advanced AI research tool with reflection, evaluation, and iterative search capabilities
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Overview

This node implements an advanced AI research tool designed to perform deep analysis and iterative research on a given query. It leverages AI models to optimize search queries, conduct web searches, reflect on research completeness, evaluate the need for further research, and suggest next steps. The tool is useful for scenarios requiring comprehensive information gathering, knowledge gap identification, and intelligent research refinement, such as academic research, market analysis, or complex problem-solving.

Use Case Examples

  1. A user inputs a complex research question, and the node iteratively searches and analyzes web data to provide a detailed research summary and actionable recommendations.
  2. A market analyst uses the node to gather and evaluate information on emerging trends, with the node suggesting follow-up queries and refining the research focus based on AI-driven reflection.

Properties

Name Meaning
Analyze Query The main research topic or question to be analyzed and researched by the tool.
Gemini Model The AI model variant used for generating responses and conducting research tasks.
Max Research Iterations Maximum number of iterative research cycles the tool will perform to refine and deepen the research.
Search Temperature Controls creativity of search queries; 0.0 is focused and deterministic, 1.0 is more creative and exploratory.
Analysis Temperature Controls creativity and criticality of reflection analysis; higher values produce more critical evaluations.

Output

JSON

  • response - The comprehensive research output including step-by-step analysis, search results, reflections, evaluations, and final recommendations.

Dependencies

  • Requires an API key credential for the Gemini AI model (referred to as Binkai Search Gemini API Key).
  • Uses Google API for web search integration via the AI model.

Troubleshooting

  • Common issues include API key misconfiguration or missing credentials, resulting in authentication errors.
  • Errors during AI model invocation may occur due to network issues or exceeding rate limits; retrying or checking API usage limits can help.
  • If the research query is empty or invalid, the node returns a prompt to provide a valid research query.
  • Reflection and evaluation steps may fail if the AI model response is malformed; ensuring correct model selection and temperature settings can mitigate this.

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