Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA

2026-03-09 · Source: Computation and Language · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Advanced, quick

Summary

Fanar-Sadiq is a bilingual (Arabic/English) multi-agent Islamic assistant designed to address the limitations of large language models (LLMs) in answering religious queries, particularly concerning hallucinations and misattributions. As a core component of the Fanar AI platform, it routes diverse Islamic queries to specialized modules within an agentic, tool-using architecture. The system supports intent-aware routing, provides retrieval-grounded fiqh answers with deterministic citation normalization and verification traces, offers exact verse lookup with quotation validation, and includes deterministic calculators for Sunni zakat and inheritance with madhhab-sensitive branching. Evaluated on public Islamic QA benchmarks, Fanar-Sadiq demonstrates effectiveness and efficiency, having been accessed approximately 1.9 million times in less than a year via its publicly available API and web application.

Key takeaway

For AI Architects designing domain-specific assistants, consider a multi-agent architecture like Fanar-Sadiq to handle diverse query types and ensure verifiable, grounded responses. Your system should incorporate specialized modules for distinct tasks, such as deterministic calculators for rule-based computations and robust citation verification, to mitigate hallucinations and build user trust in sensitive domains.

Key insights

Multi-agent architectures enhance LLM reliability for complex, domain-specific queries requiring grounded, verifiable responses.

Principles

• Grounding in canonical texts is critical for religious QA.
• Intent-aware routing improves query handling.
• Deterministic verification builds trust.

Method

Fanar-Sadiq employs a multi-agent, tool-using architecture with intent-aware routing to specialized modules for tasks like fiqh answers, verse lookup, and deterministic calculators for zakat and inheritance.

In practice

• Implement intent-aware routing for diverse query types.
• Integrate deterministic calculators for rule-based tasks.
• Provide verifiable citations for factual claims.

Topics

• Multi-Agent Systems
• Retrieval-Augmented Generation
• Islamic QA
• Natural Language Processing
• Hallucination Mitigation

Best for: AI Architect, AI Scientist, Research Scientist, AI Engineer, Machine Learning Engineer, NLP Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Computation and Language.