mlsanityData to 14 Oct 2026

SpiritRAG: A Q&A System for Religion and Spirituality in the United Nations Archive

arXiv 2507.04395 ↗First posted 6 Jul 2025cs.CL cs.AIcited by 3

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Abstract (arXiv)

Religion and spirituality (R/S) are complex and highly domain-dependent concepts which have long confounded researchers and policymakers. Due to their context-specificity, R/S are difficult to operationalize in conventional archival search strategies, particularly when datasets are very large, poorly accessible, and marked by information noise. As a result, considerable time investments and specialist knowledge is often needed to extract actionable insights related to R/S from general archival sources, increasing reliance on published literature and manual desk reviews. To address this challenge, we present SpiritRAG, an interactive Question Answering (Q&A) system based on Retrieval-Augmented Generation (RAG). Built using 7,500 United Nations (UN) resolution documents related to R/S in the domains of health and education, SpiritRAG allows researchers and policymakers to conduct complex, context-sensitive database searches of very large datasets using an easily accessible, chat-based web interface. SpiritRAG is lightweight to deploy and leverages both UN documents and user provided documents as source material. A pilot test and evaluation with domain experts on 100 manually composed questions demonstrates the practical value and usefulness of SpiritRAG.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 6 of its 47 references that are in the map. First posted on arXiv 6 Jul 2025.

Builds on

6 of 47 references.

References · 6

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  3. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,944
  4. 2023Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensionscited by 112
  5. 2025Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMscited by 54
  6. 2024MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functionscited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026SACRED: A Faithful Annotated Multimedia Multimodal Multilingual Dataset for Classifying Connectedness Types in Online Spiritualitycited by 0
  2. 2026LLM-INSTRUCT at UZH Shared Task 2026: Constraint-Aware Retrieval and Selective Debate for Paragraph-Level Argument Miningcited by 0
  3. 2026hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic Advisingcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language Models
  2. 2024Improving LLM Reliability with RAG in Religious Question-Answering: MufassirQAS
  3. 2025FARSIQA: Faithful and Advanced RAG System for Islamic Question Answering
  4. 2024Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
  5. 2026Analyzing performance of Retrieval Augmented Generation models for Question Answering Tasks
  6. 2025Transformer Tafsir at QIAS 2025 Shared Task: Hybrid Retrieval-Augmented Generation for Islamic Knowledge Question Answering
  7. 2026From RAG to Agentic RAG for Faithful Islamic Question Answering
  8. 2026LitTraceQA: A Benchmark for Multi-Stage Grounding and Verification in Scientific Question Answering