We are pleased to announce the launch of the eLABa Repository Assistant, a tool powered by artificial intelligence (AI) and RAG (Retrieval-Augmented Generation) technology, designed to search for and analyse information in documents held in the eLABa repository.
The assistant allows you to:
- search for documents using natural-language questions and requests, such as “Find publications on artificial intelligence”; “Which works are related to medicine?”; “Which authors explore [topic]?”; or “Summarise works on [topic]”;
- find information about publications, theses, dissertations, authors and research topics;
- receive answers based on the content of documents;
- summarise documents on selected topics and the information they contain.
You can access the eLABa Repository Assistant at https://chat.elaba.lt/
To sign in, click the sign-in button, select Continue with eLABA, choose Lietuvos muzikos ir teatro akademija (Lithuanian Academy of Music and Theatre) from the drop-down menu, and enter your LMTA email address and password.
Please note that the eLABa Repository Assistant is not a general-purpose AI chatbot. It is designed specifically for working with the content of the eLABa repository.
AI-generated answers may contain inaccuracies, so we recommend verifying important information against the sources provided by the assistant and the original documents.