System Design

The AI Research Orchestrator (ARO) is a modular AI framework system designed to handle diverse analytical tasks efficiently. It integrates multiple reasoning layers, specialized tools, and data storage mechanisms to process inputs and deliver insights in a structured and automated manner. This section provides a technical overview of the key components and processes within ARO.


ARO System Design

ARO’s design emphasizes modularity, scalability, and interoperability. Its core components include:

  1. Input

    • Accepts requests from chat, UI dashboard, APIs.

    • Validates and formats queries for downstream modules.

  2. Multimodel Reasoning Layer

    • A cluster of LLMs—GPT-4o, o1, DeepSeek-R1, Claude 3.5 Sonnet, Gemini-2.0, Grok-2, Qwen2.5, etc.

    • Adaptive Model Selection dynamically chooses the most suitable model(s) for each query, optimizing for task requirements such as text processing, numerical analysis, or data interpretation.

  3. AI Research Orchestrator

    • Core logic layer that routes tasks between LLMs, specialized tools, and reasoning modules to ensure tasks are processed effectively and efficiently.

    • Advanced reasoning capabilities that analyze and break down complex queries into manageable components, assigning the best-suited resources for each part of the task.

    • Aggregation of outputs from models and tools into final, consolidated results, providing users with actionable insights in a unified format.

  4. Orchestration Intelligence layer

    • Over 80 specialized tools (financial analytics, blockchain explorers, sentiment analysis, etc.).

    • Capable of parallel or sequential execution to optimize performance.

  5. Memory System

    • Short-Term Memory: Caches intermediate data during a session.

    • Long-Term Memory: Archives historical data for trend analysis and ongoing model improvements.

  6. Dataset Creation Module

    • Ingests data from tasks and external sources, then cleans and stores it in structured datasets.

  7. Output

    • Delivers insights via chat, UI dashboard, automated responses.

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