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  • Introduction
  • Why Build Agents from Scratch?
    • Why Build Agents from Scratch?
  • Core Features
    • Core Features
  • System Architecture
    • Overview
    • Agents
      • Main Agents
      • Validator Agents
    • Code Structure
      • Directory Overview
  • Installation Instructions
    • Installation
    • Usage
  • Logs and Debugging
    • Purpose
    • Key Features
    • Example
  • Code Components Overview
    • AgentBase
    • Summarization Agents
    • Data Sanitization Agents
    • Research Article Agents
    • Refinement Agents
  • Use Cases and Applications
    • Use Cases
  • Agent Execution Flow
  • Advanced Configuration
  • Performance Optimization
  • Benchmarking and Metrics
  • AI Ethics and Considerations
  • Agent Tutorials
  • Deployment and Scaling
  • Roadmap
  • Case Studies
  • FAQ and Troubleshooting
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  1. System Architecture

Overview

Overview

Cognify's architecture follows a modular, agent-based design

+-------------------+
|       User        |
+---------+---------+
          |
          v
+---------+---------+
|    Streamlit App  |
+---------+---------+
          |
          v
+---------+---------+
|  Agent Manager    |
+---------+---------+
          |
          +---------------------------------------------+
          |                      |                      |
          v                      v                      v
+---------+---------+  +---------+---------+  +---------+---------+
|  Summarize Agent  |  |  Write Article    |  |  Sanitize Data    |
|                   |  |  Agent            |  |  Agent            |
+---------+---------+  +---------+---------+  +---------+---------+
          |                      |                      |
          v                      v                      v
+---------+---------+  +---------+---------+  +---------+---------+
|Summarize Validator|  | Refiner Validator |  |Sanitize Validator |
+---------+---------+  +---------+---------+  +---------+---------+
          |
+---------+---------+
|       Logger       |
+--------------------+

Explanation:

In Cognify's architecture, the system is structured using a modular, agent-based design. This design consists of various components that interact with each other to perform specific tasks.

  1. User Interaction: At the top level, users interact with the architecture through a user interface, in this case, a Streamlit application.

  2. Agent Manager: The Streamlit application communicates with the Agent Manager, which acts as a central hub coordinating the operations of different agents.

  3. Agents: There are three primary agents within the system:

    • Summarize Agent: Responsible for summarizing content.

    • Write Article Agent: Handles the generation of article content.

    • Sanitize Data Agent: Ensures data is clean and ready for use.

  4. Validators: Each agent has a corresponding validator:

    • Summarize Validator: Checks the summarized content for accuracy.

    • Refiner Validator: Validates the content generated by the Write Article Agent.

    • Sanitize Validator: Verifies the cleanliness and usability of the data.

  5. Logger: Logs activities and errors throughout the system to ensure processes are tracked and any issues can be addressed.

This architecture enables a streamlined process, allowing for scalability and flexibility in managing content and data operations.

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Last updated 3 months ago