Author First name, Last name, Institution

Nikesh Narayanan, Zayed UniversityFollow

ORCID Identifiers

https://orcid.org/0000-0002-2005-1177

Document Type

Book Chapter

Publication Date

7-2025

Abstract

This chapter explores how generative AI and agentic AI are redefining library services through enhanced interactivity, personalization, and scalability of support. The rise of machine learning, and specifically natural language processing (NLP) with large language models, brought a new wave of capabilities to library chatbots. Moving beyond single-turn question-answering chatbots, the concept of autonomous AI agents (or agentic AI) in libraries represents a significant leap in capability. An autonomous agent is an advanced form of AI that can understand and respond to inquiries, then take action without human intervention. When they are given an objective, they can generate tasks for themselves, complete assigned tasks, and work on the next in the chain until the objective is complete. For libraries, the Retrieval-augmented generation (RAG) approach offers a way to keep AI responses current and accurate. A RAG-enabled agent, however, could query the library’s integrated library system (ILS) or catalog to check for that author’s books and their status, then incorporate that live data into the answer. The paper delves deep into the use of Autonomous AI Agents in academic libraries. It discusses in detail the four major frameworks for developing autonomous library agents viz. LangChain, LangGraph, Microsoft Autogen, and CrewAI. Then it examines the technical infrastructure for AI agents in libraries. It also looks into the ethical and organizational considerations involved in integrating generative and autonomous AI into library services.

ISBN

9788198925732

Publisher

Prof. KA Isaac society for Library and Information Science

First Page

230

Last Page

252

Disciplines

Library and Information Science

Keywords

Library AI, AI agents in Libraries, Agentic AI Application, Autogen, Autonomous AI agents, Chatbots, Ethical considerations, Large Language Models, Retrieval-augmented generation, RAG, AI Applications in Libraries

Indexed in Scopus

no

Open Access

no

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