Fanar-Sadiq: Multi-Agent System for Grounded Islamic Question-Answering
Researchers have developed Fanar-Sadiq, a bilingual Arabic-English AI system designed to answer Islamic religious questions with grounding in canonical texts and jurisprudential sources. The system uses a multi-agent architecture with specialized modules to handle different query types, from scripture lookup to zakat calculations, addressing limitations in standard language models that often hallucinate or misattribute religious sources. The system has achieved over 1.9 million accesses in less than a year, demonstrating practical utility for users seeking religiously-grounded answers.
Fanar-Sadiq is a specialized question-answering system built to address a critical problem: large language models can fluently answer Islamic knowledge queries but frequently hallucinate and misattribute sources, which is particularly problematic in religious contexts where accuracy and proper citation are essential. The system employs a multi-agent, tool-augmented architecture that routes queries to specialized modules rather than using a single retrieve-then-generate pipeline. It supports multiple query types including verbatim scripture retrieval, citation-grounded jurisprudential (fiqh) answers with normalized citations and verification traces, exact verse lookup with quotation validation, and deterministic calculations for Islamic financial obligations like zakat and inheritance with sensitivity to different Islamic schools of thought (madhhabs). The researchers evaluated the system on public Islamic QA benchmarks and report strong effectiveness and efficiency. The platform is publicly accessible via API and web application and has accumulated over 1.9 million accesses in less than a year.
What's missing
The paper does not provide specific quantitative performance metrics (e.g., accuracy percentages, F1 scores, or comparison baselines) in the abstract, though these are likely detailed in the full paper. Additionally, the abstract does not specify which public Islamic QA benchmarks were used for evaluation or provide details on the composition and size of the underlying knowledge base.
What different sources said
- arXiv cs.CLCenter
Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA
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