Kowalski Academic Agent

A specialized AI agent for academic research and scholarly tasks, built on top of the Kowalski framework. The Academic Agent provides intelligent assistance for finding, analyzing, and processing academic papers, research documents, and scholarly content.

What is the Academic Agent?

The Academic Agent is a sophisticated AI-powered research assistant that combines the power of large language models with specialized academic tools. It's designed to help researchers, students, and academics streamline their research workflow through intelligent paper discovery, analysis, and citation management.

Core Capabilities

• Academic Paper Search: Find relevant research papers across multiple academic databases
• PDF Document Processing: Extract and analyze content from research papers and academic documents
• Citation Generation: Generate properly formatted citations in various academic styles
• Research Analysis: Provide intelligent summaries and insights from academic content
• Conversational Interface: Interactive Q&A about research topics and papers
• Streaming Responses: Real-time processing and display of analysis results
• Role-Based Analysis: Configurable analysis styles for different academic disciplines

What Does It Do?

The Academic Agent performs several key functions:

1. Paper Discovery: Searches academic databases to find relevant research papers
2. Document Processing: Parses and extracts content from PDF research papers
3. Content Analysis: Provides intelligent summaries and key insights from academic papers
4. Citation Management: Generates properly formatted citations in various styles (APA, MLA, etc.)
5. Research Assistance: Answers questions about research topics and methodologies
6. Literature Review: Helps identify trends and gaps in academic literature

Example Usage

Basic Paper Analysis

use kowalski_academic_agent::AcademicAgent;
use kowalski_core::config::Config;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Initialize the academic agent
    let config = Config::default();
    let mut academic_agent = AcademicAgent::new(config).await?;
    
    // Start a conversation
    let conversation_id = academic_agent.start_conversation("llama3.2");
    
    // Process a research paper
    let paper_path = "path/to/research_paper.pdf";
    let response = academic_agent
        .chat_with_history(&conversation_id, paper_path, None)
        .await?;
    
    // Process streaming response...
    Ok(())
}

Advanced Research with Custom Roles

use kowalski_core::role::{Audience, Preset, Role};

// Create a specialized role for computer science research
let role = Role::new(
    "Computer Science Research Assistant",
    "You are an expert in computer science research, specializing in machine learning and AI.",
)
.with_audience(Audience::new(
    "Computer Science Researcher",
    "You are speaking to a computer science researcher who needs detailed technical analysis.",
))
.with_preset(Preset::new(
    "Technical Analysis",
    "Focus on technical details, algorithms, and experimental results.",
));

// Use the role in paper analysis
let response = academic_agent
    .chat_with_history(&conversation_id, paper_path, Some(role))
    .await?;

Paper Search and Discovery

// Search for academic papers
let search_results = academic_agent.search_papers("machine learning transformers").await?;

for result in search_results {
    println!("Title: {}", result.title);
    println!("Authors: {}", result.authors);
    println!("Abstract: {}", result.abstract_text);
    println!("URL: {}", result.url);
    println!("---");
}

Citation Generation

// Generate a citation for a reference
let citation = academic_agent.generate_citation("Attention Is All You Need").await?;
println!("Citation: {}", citation.citation);
println!("Format: {}", citation.format);

Follow-up Research Questions

// Ask specific follow-up questions about the research
let follow_up = "What are the main contributions and limitations of this paper?";
let follow_up_response = academic_agent
    .chat_with_history(&conversation_id, follow_up, None)
    .await?;

How Could It Be Extended?

The Academic Agent is designed with extensibility in mind and can be enhanced in several ways:

1. Additional Academic Databases

// Integrate with more academic search engines
pub struct ExtendedAcademicAgent {
    agent: AcademicAgent,
    arxiv_tool: ArxivTool,
    pubmed_tool: PubMedTool,
    ieee_tool: IEEETool,
    acm_tool: ACMTool,
}

2. Advanced Document Processing

// Support for more document formats and advanced parsing
pub struct AdvancedAcademicAgent {
    agent: AcademicAgent,
    latex_parser: LatexParser,
    word_processor: WordProcessor,
    figure_extractor: FigureExtractor,
    table_extractor: TableExtractor,
}

3. Literature Review Tools

// Automated literature review and synthesis
pub struct LiteratureReviewAgent {
    agent: AcademicAgent,
    citation_analyzer: CitationAnalyzer,
    trend_detector: TrendDetector,
    gap_analyzer: GapAnalyzer,
    synthesis_engine: SynthesisEngine,
}

4. Research Collaboration Features

// Multi-user research collaboration
pub struct CollaborativeAcademicAgent {
    agent: AcademicAgent,
    user_manager: UserManager,
    annotation_system: AnnotationSystem,
    discussion_forum: DiscussionForum,
    version_control: VersionControl,
}

5. Plagiarism Detection

// Academic integrity tools
pub struct IntegrityAcademicAgent {
    agent: AcademicAgent,
    plagiarism_detector: PlagiarismDetector,
    similarity_analyzer: SimilarityAnalyzer,
    citation_checker: CitationChecker,
    originality_scorer: OriginalityScorer,
}

6. Research Workflow Management

// Complete research project management
pub struct WorkflowAcademicAgent {
    agent: AcademicAgent,
    project_manager: ProjectManager,
    timeline_tracker: TimelineTracker,
    milestone_monitor: MilestoneMonitor,
    progress_reporter: ProgressReporter,
}

Potential Benefits of Using It

For Researchers

• Time Savings: Automate routine research tasks like paper discovery and citation formatting
• Comprehensive Analysis: Get detailed insights from papers without reading every word
• Literature Coverage: Discover relevant papers you might have missed
• Research Synthesis: Automatically identify trends and gaps in your field

For Students

• Learning Assistance: Get help understanding complex academic papers
• Citation Management: Properly format citations for assignments and papers
• Research Skills: Learn effective research methodologies and practices
• Academic Writing: Get guidance on academic writing and paper structure

For Academic Institutions

• Research Efficiency: Increase research productivity across departments
• Resource Optimization: Reduce time spent on routine research tasks
• Quality Assurance: Ensure proper citation and academic integrity
• Knowledge Sharing: Facilitate collaboration and knowledge transfer

For Publishers and Journals

• Content Analysis: Automatically analyze submitted papers for quality and relevance
• Peer Review Support: Assist reviewers with paper analysis and evaluation
• Citation Tracking: Monitor citation patterns and impact metrics
• Content Discovery: Help readers find relevant papers and research

For Libraries and Information Centers

• Collection Management: Analyze and organize academic collections
• Reference Services: Provide enhanced reference and research assistance
• User Support: Help users navigate complex academic databases
• Resource Discovery: Improve access to academic resources

Features

• Demonstrates research paper processing and analysis
• Shows academic search capabilities with multiple databases
• Interactive AI analysis with role-based prompts for different academic disciplines
• Follow-up questions for deeper research insights
• Proper error handling and streaming response processing
• Citation generation in multiple academic formats
• PDF document parsing and content extraction

The Academic Agent can be easily extended to support additional academic databases, document formats, or specialized research tools.

Example Output

TBD