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

Dimensions overall score 8.0

• Large language models (LLMs) often hallucinate and misattribute sources when answering religious knowledge queries, which is especially consequential in Islamic settings.limitation 90%
  Evidencepartial

  Large language models (LLMs) can answer religious knowledge queries fluently, yet they often hallucinate and misattribute sources, which is especially consequential in Islamic settings

  Implicationpartial

  Directly and explicitly stated in the abstract as the motivation for the work.

  Verificationpartial

  partial

• A single 'retrieve-then-generate' pipeline is limited in dealing with the diversity of Islamic queries, which can range from verbatim scripture to rule-constrained computations.limitation 90%
  Evidencepartial

  a single 'retrieve-then-generate' pipeline is limited to deal with the diversity of Islamic queries. Users may request verbatim scripture, fatwa-style guidance with citations or rule-constrained computations such as zakat and inheritance

  Implicationpartial

  Directly and explicitly stated in the abstract as a limitation of existing RAG approaches.

  Verificationpartial

  partial

• Fanar-Sadiq is a bilingual (Arabic/English) multi-agent Islamic assistant that routes queries to specialized modules within an agentic, tool-using architecture.method 95%
  Evidencepartial

  we present a bilingual (Arabic/English) multi-agent Islamic assistant, called Fanar-Sadiq... which routes Islamic-related queries to specialized modules within an agentic, tool-using architecture.

  Implicationpartial

  Directly and explicitly stated in the abstract as the core description of the presented system.

  Verificationpartial

  partial

• The system supports deterministic calculators for Sunni zakat and inheritance with madhhab-sensitive branching.technical 90%
  Evidencepartial

  deterministic calculators for Sunni zakat and inheritance with madhhab-sensitive branching.

  Implicationpartial

  Directly and explicitly stated in the abstract as a specific technical capability of the system.

  Verificationpartial

  partial

• The system supports retrieval-grounded fiqh answers with deterministic citation normalization and verification traces.technical 90%
  Evidencepartial

  retrieval-grounded fiqh answers with deterministic citation normalization and verification traces

  Implicationpartial

  Directly and explicitly stated in the abstract as a specific technical capability of the system.

  Verificationpartial

  partial

• The system has been evaluated on public Islamic QA benchmarks and demonstrated effectiveness and efficiency.result 85%
  Evidencepartial

  We evaluate the complete end-to-end system on public Islamic QA benchmarks and demonstrate effectiveness and efficiency.

  Implicationpartial

  Directly stated in the abstract, though specific benchmark results are not provided in the given text.

  Verificationpartial

  partial

• The system is publicly and freely accessible and has been accessed approximately 1.9 million times in less than a year.market 95%
  Evidencepartial

  Our system is currently publicly and freely accessible through API and a Web application, and has been accessed ≈1.9M times in less than a year.

  Implicationpartial

  Directly and explicitly stated in the abstract with a specific numeric figure.

  Verificationpartial

  partial

Competitive landscape

Fanar-Sadiq is a multi-agent Islamic assistant that provides grounded answers to religious queries, accessible via API and web application, with proven traction.