Developers
The route from a model to a running integration: console, APIs and documentation.
Where you build
The platform products a developer works in, the ones with a live surface first. Keys, the API reference and usage all live in Kawn Console; this page does not reproduce it, because one reference kept in one place is the only version that stays current.
Models you can call
Every model in the catalogue that records a cloud deployment option, with what it does and where its page is. The catalogue is the source: a model that is not marked for cloud access is not listed here.
Kuwain
A 1.5B-parameter Arabic SLM built by language injection, the base layer for our downstream models.
Language1.5B
Lahjawi
A family of Arabic dialect translation models covering dialect-to-dialect and dialect-to-MSA translation.
Language
Mutarjim
Bidirectional Arabic–English translation built on Kuwain, for general and specialized domains.
Language1.5B
Sadeed
Arabic diacritization built on Kuwain, restoring full Tashkeel for MSA and classical Arabic.
Specialized NLP1.5B
Kawn Embed Light
Lightweight general-purpose Arabic embeddings for semantic search, retrieval, clustering, and RAG.
Embedding300M
Kawn Embed Islamic
Arabic embeddings optimized for retrieval across the Quran, Hadith, Fiqh, and Fatwa collections.
Embedding139M
Kawn Embed Medical
Domain-specific Arabic embeddings for healthcare applications.
Embedding139M
Nabr
Acoustic model for Quranic recitation analysis, covering ASR and Tajweed-aware mispronunciation detection.
Speech
Sawt Najd
High-quality Najdi Arabic text-to-speech for conversational AI and accessibility applications.
Speech
Islamic QA Classifier
Hierarchical classification that routes Fatwa and Fiqh questions to the correct legal category.
Specialized NLP
Islamic Quotation Extractor
Information extraction that identifies verbatim Quran, Hadith, and book quotations in classical and Fatwa texts.
Specialized NLP
Client libraries
The client libraries Misraj publishes, with the install command each repository's own README gives.
LlamaIndex Kawn integration
LlamaIndex wrappers for the Kawn SDK: KawnEmbedding for document and query embeddings, and BaseerReader, which reads PDFs and images through the Baseer OCR service into LlamaIndex documents.
PythonMIT
pip install llama-index-kawn
Deployment options
Each model records how it can be run. These are the options the catalogue actually carries, and the models under each are the ones that carry it.
Open weights and code
What can be downloaded and read rather than called, and where it is published.
Not on this page
No rate limits, pricing, endpoint list or uptime figures. This site has no source for them and will not guess; the console has all four, and it is the copy that is kept current.
Let's talk about what you're trying to build.
Tell us the problem. We'll tell you honestly whether AI is the right answer.