Hybrid retrieval
Keyword and semantic search work together to locate relevant books, fragments, and metadata.
About the project
An intelligent platform that turns digitized collections into accessible, source-grounded knowledge.
LibRAG is an intelligent question-answering and information retrieval system developed by LLP AI Research for large digitized collections.
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.
Technology
LibRAG uses Retrieval-Augmented Generation: it first finds relevant library materials, then forms an answer from the evidence that has been found.
Keyword and semantic search work together to locate relevant books, fragments, and metadata.
Answers are assembled from selected sources, with citations supporting verification and scholarly use.
The platform strengthens digital access to Kazakh materials and supports work with multilingual collections.
Students, researchers, librarians, and public institutions gain a practical route into large collections.
Mission
LibRAG helps institutions turn digitized holdings into searchable, explainable and reusable knowledge services for education, science and public inquiry.
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.
LLP AI Research develops LibRAG. The National Library of the Republic of Kazakhstan is a valued partner that provides collection access, and the team thanks Yandex for a Yandex Cloud Platform services grant through the Yandex Cloud Center for Technologies for Society program.
LibRAG makes national collections easier to study, cite, and reuse, while creating a foundation for new digital services and language resources.