LibRAG

About the project

LibRAG by AI Research

An intelligent platform that turns digitized collections into accessible, source-grounded knowledge.

A practical AI layer for cultural collections

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.

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.

01

Hybrid retrieval

Keyword and semantic search work together to locate relevant books, fragments, and metadata.

02

Grounded generation

Answers are assembled from selected sources, with citations supporting verification and scholarly use.

03

Language technologies

The platform strengthens digital access to Kazakh materials and supports work with multilingual collections.

04

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 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.

Partners and acknowledgements

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.

Expected impact

LibRAG makes national collections easier to study, cite, and reuse, while creating a foundation for new digital services and language resources.