LibRAG
Hybrid retrieval
Keyword and semantic search work together to locate relevant books, fragments, and metadata.
About the project
LibRAG for the National Library of Kazakhstan
An intelligent platform that turns digitized library collections into accessible, source-grounded knowledge.
A national collection made searchable and explainable
LibRAG is an intelligent question-answering and information retrieval system built for the digitized collections of the National Library of the Republic of Kazakhstan.
Its purpose is to provide fast, convenient, and reliable access to cultural and scientific heritage: not merely returning documents, but preparing concise structured answers grounded in library sources.
The project combines library expertise and national collections with AI Research engineering in retrieval, natural-language processing, and responsible generative AI.
Verifiable answers
Answers are supported by retrieved source documents and page-level references.
Multilingual access
Knowledge access is designed for Kazakh, Russian, English, and Turkic-language heritage.
Digital preservation
Rare editions and historical collections become discoverable for research and education.
Technology
A reliable knowledge layer over library collections
LibRAG uses Retrieval-Augmented Generation: it first finds relevant library materials, then forms an answer from the evidence that has been found.
Grounded generation
Answers are assembled from selected sources, with citations supporting verification and scholarly use.
Language technologies
The platform strengthens digital access to Kazakh materials and supports work with multilingual collections.
Research access
Students, researchers, librarians, and public institutions gain a practical route into large collections.
Mission
From digital archive to a living knowledge ecosystem
LibRAG supports the National Library's role as a modern digital competence centre: a place where traditional holdings, digitization, and artificial intelligence serve education, science, and public inquiry together.
A special priority is the preservation and broader use of Kazakhstan's intellectual heritage, including materials in Kazakh and other Turkic languages that are important for future language technologies.
Partnership
The project is implemented through cooperation between the National Library of the Republic of Kazakhstan and LLP AI Research, joining institutional collections with applied AI development.
Expected impact
LibRAG makes national collections easier to study, cite, and reuse, while creating a foundation for new digital services and language resources.