نُور

Search the Qur'an & Hadith by meaning.

Noor is AI semantic search over the Qur'an and Hadith. Ask in Arabic or English - "verses about patience in adversity", "حديث عن حقوق الجار" - and get matches by meaning, not keyword, with cited and grounded answers.

Noor semantic search
What it does

Study by intent, not by keyword.

One interface over the Qur'an and the major Hadith collections - in Arabic or English.

Search

Semantic search

Ask in Arabic or English; get the closest verses and hadith ranked by meaning, not surface form.

Answers

Grounded Q&A

Retrieves the most relevant passages, then writes a cited answer drawn from only those sources.

Voice

Voice search

Speak a question; it's transcribed and run through whichever mode you're in.

Reference

Reference lookup

A reference like 2:255 resolves straight to the verse.

Topics

Topic discovery

TF-IDF and clustering surface concepts and themes across the corpus.

Themes

Light & dark

An Arabic-first interface that stays calm to read in either theme.

Grounded answers

Every claim, cited to its source.

Noor never answers from thin air - it retrieves first, then writes only from what it found, citing each verse and hadith inline.

Noor grounded Q&A with inline citations
Noor - light theme Noor - dark theme

Arabic-first, in light or dark.

How it's built

The whole index is one file.

Multilingual embeddings in a sqlite-vec vector store - the entire corpus index is a single SQLite file, deployable on hardware as small as a Raspberry Pi. A FastAPI backend, a single-file Vue 3 frontend, and nginx at the edge. Q&A and voice are reached server-side, so no model keys ever reach the browser.

Support & sponsors

Free, open, and ad-free.

Noor has no tracking and no ads. If it's useful to you, you can support continued development - pay what you like, once or monthly.