Research Agent

The Research Agent block conducts comprehensive information gathering and analysis by systematically searching, evaluating, and synthesizing data from multiple sources.

Overview

Research Agent specializes in deep information gathering, combining web search, database queries, and document analysis to build comprehensive knowledge bases and answer complex questions that require multiple sources and analytical thinking.

Research Planning: Break down research questions into searchable components and information needs

Source Discovery: Search across web, databases, documents, and APIs for relevant information

Content Evaluation: Assess source credibility, relevance, and information quality

Knowledge Synthesis: Combine findings into coherent insights and comprehensive reports

How It Works

graph TB
    A[Research Query] --> B[Query Decomposition]
    B --> C[Multi-Source Search]
    C --> D[Web Search]
    C --> E[Database Query]  
    C --> F[Document Analysis]
    D --> G[Source Evaluation]
    E --> G
    F --> G
    G --> H[Information Synthesis]
    H --> I[Research Report]

Configuration

Information Sources

Available data sources for research:

Web Search: Google, Bing, DuckDuckGo for current information
Academic Databases: PubMed, ArXiv, Google Scholar for scholarly sources
News Sources: Reuters, AP, industry publications for current events
Internal Databases: Company knowledge bases, CRM data, documentation

Search Strategies

Methods for finding relevant information:

Broad to Narrow: Start with general searches, then drill down into specifics
Multi-Angle: Approach the topic from different perspectives and disciplines
Temporal: Search across different time periods for historical context
Cross-Reference: Verify information across multiple independent sources

Quality Criteria

Standards for evaluating source reliability:

Authority: Source expertise and credentials
Accuracy: Fact-checking and verification against known information
Currency: Information recency and relevance to current context
Objectivity: Bias assessment and balanced perspective

Output Format

How research findings are presented:

Executive Summary: Key findings and recommendations
Detailed Report: Comprehensive analysis with supporting evidence
Source Bibliography: Complete reference list with credibility ratings
Structured Data: Organized facts and figures for further processing

Use Cases

Market Analysis: Comprehensive industry research including trends, competitors, and opportunities
Academic Research: Literature reviews and evidence gathering for scholarly work
Due Diligence: Background research on companies, individuals, or investment opportunities

Example Workflow

[Research Question] → [Research Agent] → [Knowledge Graph] → [Expert Summary] → [Presentation]

A market research request: "Analyze the competitive landscape for AI-powered customer service tools"

Research Process:

Query Decomposition: AI customer service, market size, key players, trends, pricing
Source Discovery: Industry reports (Gartner, Forrester), company websites, news articles
Information Gathering: 50+ sources across 3 categories (vendors, analysts, users)
Source Evaluation: Rate credibility, check publication dates, verify claims
Synthesis: Market map, competitive matrix, trend analysis, recommendations

Output: Comprehensive 15-page report with market size ($2.8B), top 10 competitors, growth trends (23% CAGR), and strategic recommendations

Best Practice: Always verify important facts across multiple independent sources. Maintain clear source attribution and credibility ratings to help users assess information quality.

When to Use This vs Other Blocks

Block	When to Use
Research Agent	Comprehensive multi-source research requiring analysis and synthesis
Agent	Simple information lookup or single-step question answering
Knowledge Graph	Organizing and connecting research findings after collection

Research Agent

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