SI² — SuperIntelligence for Science

ORCHID

Retrieval-augmented classification of high-risk property with intelligent decision-making.

Research question

How can high-risk property classification become more traceable and easier for experts to review?

Research approach

Cooperating retrieval, refinement, classification, and validation agents connect item descriptions with policy evidence. Human oversight and audit artifacts support review.

Research outputs & focus

  • Policy-grounded classification support
  • Expert review for uncertain items
  • Auditable evidence bundles

Artifacts

People behind the project

Contributors.

Dr. Tirthankar Ghosal

Dr. Tirthankar Ghosal

Principal Investigator · Staff Scientist

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Dr. Sanjay Das

Dr. Sanjay Das

Postdoctoral Researcher · Lead R&D personnel

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Vanessa Lama (past member)

Vanessa Lama (past member)

Developer / researcher

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Maria Mahbub (past member)

Maria Mahbub (past member)

Developer / researcher

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Related publications

The research behind the tool.

RAG4ReportsPublished

ORCHID: Orchestrated Retrieval-Augmented Classification of High-Risk Property with Intelligent Decision-Making

Sanjay Das et al.

Citation

Sanjay Das et al. (2026). ORCHID: Orchestrated Retrieval-Augmented Classification of High-Risk Property with Intelligent Decision-Making. RAG4Reports, pp. 57–64.