Architecture Overview
Understanding the Company Research Agent architecture
Architecture Overview
The Company Research Agent is built using CrewAI, a powerful framework for orchestrating multiple AI agents to work together on complex tasks. The architecture combines specialized agents, custom tools, and the Apify platform to deliver comprehensive company research.
High-Level Architecture
CrewAI Framework
Coordinates multiple AI agents working together to research and analyze company data
Apify Integration
Provides web scraping and data collection capabilities through specialized actors
Custom Tools
Purpose-built tools for interacting with various data sources
LLM Integration
Uses Google’s Gemini model for analysis and report generation
Core Components
1. CrewAI Crew
The CompanyResearchCrew
class orchestrates three specialized agents:
2. Specialized Agents
Each agent has a specific role in the research process:
- Researcher: Gathers raw company information
- Data Analyst: Processes and analyzes the collected data
- Content Compiler: Formats the findings into structured reports
3. Custom Tools
The system includes specialized tools for different data sources:
4. Task Flow
The research process follows a sequential workflow:
- Company research using domain name
- Data analysis and insight extraction
- Report compilation and formatting
Integration Points
Apify Platform
- Actors: Uses specialized Apify actors for web scraping
- Dataset: Stores and manages research results
- Key-Value Store: Handles intermediate data storage
LLM Integration
Data Flow
- Input: Company domain name
- Research Phase: Multiple tools gather data in parallel
- Analysis Phase: Data is processed and analyzed
- Output: Structured report in JSON format
Error Handling
The system includes robust error handling:
- Tool-level error handling for each data source
- Agent-level task retry mechanisms
- Crew-level process management
Performance Optimization
- Concurrent data collection where possible
- Rate limiting controls
- Memory management for large datasets
The architecture is designed to be modular and extensible. New agents, tools, or data sources can be added without major modifications to the core system.