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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

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

    Researchers have developed Fanar-Sadiq, a multi-agent system designed for accurate and grounded Islamic question answering. This bilingual Arabic-English platform addresses the limitations of standard LLMs in religious contexts by incorporating specialized modules for diverse query types. It supports retrieval-augmented generation for jurisprudential answers, exact scripture lookup, and precise calculations for zakat and inheritance, with a focus on verification and canonical grounding. AI

    IMPACT This system could set a precedent for specialized, grounded AI applications in sensitive domains like religious scholarship.