1. A system for providing library reference services using artificial intelligence (AI) and chatbots, the system comprising: an AI engine configured to receive user inquiries and generate responses based on a database of knowledge; a chatbot module configured to facilitate communication between the user and the AI engine; a library reference database containing a collection of library-related information; and a user interface for displaying responses generated by the AI engine and facilitating communication with the chatbot.

2. The system of claim 1, wherein the AI engine utilizes machine learning algorithms to improve the accuracy and relevance of responses over time.

3. The system of claim 1, further comprising a knowledge management module for updating and maintaining the database of knowledge used by the AI engine.

4. The system of claim 1, wherein the user interface includes a voice-enabled chatbot for providing assistance to visually impaired or otherwise disabled users.

5. The system of claim 1, wherein the AI engine is configured to recognize user intent and provide personalized recommendations based on the user's previous interactions with the system.

6. The system of claim 1, wherein the library reference database is continuously updated with new information to ensure the accuracy and relevance of responses provided by the AI engine.

7. A method for providing library reference services using AI and chatbots, the method comprising: receiving a user inquiry through a chatbot interface; using an AI engine to generate a response based on the user inquiry and a database of knowledge; displaying the generated response to the user through the chatbot interface; determining if the user is satisfied with the response; providing additional information or alternative responses until the user is satisfied, if the user is not satisfied; and updating the database of knowledge based on user feedback.

8. The method of claim 7, wherein the user inquiry is received through a variety of channels including text-based chatbots, voice-enabled assistants, or mobile applications.

9. The method of claim 7, wherein the AI engine utilizes natural language processing (NLP) techniques to understand the user inquiry and generate a relevant response.

10. The method of claim 7, wherein the database of knowledge used by the AI engine includes information from a variety of sources, including library catalogs, research databases, and other online resources. AI AND CHATBOTS FOR LIBRARY REFERENCE SERVICES Abstract The existing disclosure may allow for the deployment of a chatbot system with the intention of assisting a user in reducing their feelings of social anxiety. A system like this one may include an AI engine that is pre-programmed to take in information from the user and analyze it. In certain embodiments, there is additionally a user interface that may be incorporated. This user interface has the capability of collecting input from users and showing output that is developed in a responsive manner by an artificial intelligence engine. In certain implementations, there is also a social anxiety reduction module that is designed to provide responsive output depending on the analysis of user input performed by an AI engine. This kind of module may be included. Positive affirmations, exercises in mindfulness, exposure treatment, and cognitive-behavioral therapy are some examples of what could be included in the response output. , Claims:Claims :

1. A system for providing library reference services using artificial intelligence (AI) and chatbots, the system comprising: an AI engine configured to receive user inquiries and generate responses based on a database of knowledge; a chatbot module configured to facilitate communication between the user and the AI engine; a library reference database containing a collection of library-related information; and a user interface for displaying responses generated by the AI engine and facilitating communication with the chatbot.

2. The system of claim 1, wherein the AI engine utilizes machine learning algorithms to improve the accuracy and relevance of responses over time.

3. The system of claim 1, further comprising a knowledge management module for updating and maintaining the database of knowledge used by the AI engine.

4. The system of claim 1, wherein the user interface includes a voice-enabled chatbot for providing assistance to visually impaired or otherwise disabled users.

5. The system of claim 1, wherein the AI engine is configured to recognize user intent and provide personalized recommendations based on the user's previous interactions with the system.

6. The system of claim 1, wherein the library reference database is continuously updated with new information to ensure the accuracy and relevance of responses provided by the AI engine.

7. A method for providing library reference services using AI and chatbots, the method comprising: receiving a user inquiry through a chatbot interface; using an AI engine to generate a response based on the user inquiry and a database of knowledge; displaying the generated response to the user through the chatbot interface; determining if the user is satisfied with the response; providing additional information or alternative responses until the user is satisfied, if the user is not satisfied; and updating the database of knowledge based on user feedback.

8. The method of claim 7, wherein the user inquiry is received through a variety of channels including text-based chatbots, voice-enabled assistants, or mobile applications.

9. The method of claim 7, wherein the AI engine utilizes natural language processing (NLP) techniques to understand the user inquiry and generate a relevant response.

10. The method of claim 7, wherein the database of knowledge used by the AI engine includes information from a variety of sources, including library catalogs, research databases, and other online resources.

Description:AI AND CHATBOTS FOR LIBRARY REFERENCE SERVICES
Field of the Invention
[0001] The present invention relates to library reference services, and in particular, to a system and method for providing personalized reference services to library users using AI and chatbots.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Reference services are an important component of library services, providing assistance to users in locating information resources and answering questions. Traditionally, reference services have been provided by reference librarians who are available to assist users in person, via telephone, or by email. However, with the increasing use of technology, many libraries have implemented online reference services, such as chat and email reference, to meet the needs of users who prefer to use digital channels.
[0004] Despite the availability of online reference services, many library users still find it challenging to locate the information they need. This is due, in part, to the vast amount of information available on the internet, which can be overwhelming to navigate. Additionally, users may have difficulty articulating their information needs or may not know how to effectively search for information.
[0005] There have been various attempts to improve library reference services through the use of technology. For example, some libraries have implemented virtual reference desks, which are web-based portals that provide users with access to reference librarians via chat, email, or video conferencing. Other libraries have developed online tutorials and research guides to help users learn how to conduct effective research. Few of the prior arts are listed below.
[0006] The US10187337B2 (By: PYPESTREAM) disclosed systems and methods join a user to a sub-channel within a primary communication channel. A message from the user comprises a user identifier and a text communication. The communication is compared to each tag in each set of tags in a plurality of sets of tags, each set of tags being uniquely associated with (i) a different chatbot in one or more chatbots associated with the sub-channel or (ii) a different node within a plurality of nodes in a chatbot. The communication is routed to a first chatbot in the one or more chatbots, or a first node within the first chatbot, on the basis of being associated with a tag that best matches the communication. A responsive message by the first chatbot within the sub-channel includes the user identifier, thereby facilitating a conversation between the user and an enterprise data source associated with the sub-channel.
[0007] The US11562267B2 (By: ORACLE INTERNATIONAL) relates to systems and methods for an intelligent assistant (e.g., a chatbot) that can be used to enable a user to generate a machine learning system. Techniques can be used to automatically generate a machine learning system to assist a user. In some cases, the user may not be a software developer and may have little or no experience in either machine learning techniques or software programming. In some embodiments, a user can interact with an intelligent assistant. The interaction can be aural, textual, or through a graphical user interface. The chatbot can translate natural language inputs into a structural representation of a machine learning solution using an ontology. In this way, a user can work with artificial intelligence without being a data scientist to develop, train, refine, and compile machine learning models as stand-alone executable code.
[0008] The CN111201567A (By: FACET LABS) relates to display of digital media content includes graphical user interfaces and predefined data fields that limit interaction between a person and a computing system. An oral communication device and a data enablement platform are provided for ingesting oral conversational data from people, and using machine learning to provide intelligence. At the front end, an oral conversational bot, or chatbot, interacts with a user. The chatbot is specific to a customized digital magazine, which both evolve over time to a user for a given topic. On the backend, the data enablement platform has a computing architecture that ingests data from various external data sources as well as data from internal applications and databases. These data and algorithms are applied to surface new data, identify trends, provide recommendations, infer new understanding, predict actions and events, and automatically act on this computed information. The chatbot then reads out the content to the user.
[0009] Despite these efforts, there is still a need for a more personalized approach to reference services that can help users navigate the vast amount of information available and find the resources that best meet their needs. This is particularly important in academic libraries, where students and faculty require specialized research assistance.
[00010] Therefore, there is a need for a system and method for providing personalized reference services to library users that can help them locate the information they need more efficiently and effectively.
[00011] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
[00012] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00013] The present invention relates to library reference services, and in particular, to a system and method for providing personalized reference services to library users using AI and chatbots.
[00014] Embodiments of the present disclosure may include a system for providing library reference services using artificial intelligence (AI) and chatbots, wherein the system including an AI engine configured to receive user inquiries and generate responses based on a database of knowledge. Embodiments may also include a chatbot module configured to facilitate communication between the user and the AI engine. Embodiments may also include a library reference database containing a collection of library-related information. Embodiments may also include a user interface for displaying responses generated by the AI engine and facilitating communication with the chatbot.
[00015] In some embodiments, the AI engine utilizes machine learning algorithms to improve the accuracy and relevance of responses over time. In some embodiments, the system may include a knowledge management module for updating and maintaining the database of knowledge used by the AI engine. In some embodiments, the user interface includes a voice-enabled chatbot for providing assistance to visually impaired or otherwise disabled users.
[00016] In some embodiments, the AI engine may be configured to recognize user intent and provide personalized recommendations based on the user's previous interactions with the system. In some embodiments, the library reference database may be continuously updated with new information to ensure the accuracy and relevance of responses provided by the AI engine.
[00017] Embodiments of the present disclosure may also include a method for providing library reference services using AI and chatbots,wherein the method includes receiving a user inquiry through a chatbot interface. Embodiments may also include using an AI engine to generate a response based on the user inquiry and a database of knowledge. Embodiments may also include displaying the generated response to the user through the chatbot interface.
[00018] Embodiments may also include determining if the user may be satisfied with the response. Embodiments may also include providing additional information or alternative responses until the user may be satisfied, if the user is not satisfied. Embodiments may also include updating the database of knowledge based on user feedback.
[00019] In some embodiments, the user inquiry may be received through a variety of channels including text-based chatbots, voice-enabled assistants, or mobile applications. In some embodiments, the AI engine utilizes natural language processing (NLP) techniques to understand the user inquiry and generate a relevant response. In some embodiments, the database of knowledge used by the AI engine includes information from a variety of sources, including library catalogs, research databases, and other online resources.
Brief Description of the Drawings
[00020] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00021] FIG. 1 is a block diagram illustrating a system for providing library reference services using artificial intelligence (AI) and chatbots, according to some embodiments of the present disclosure.
[00022] FIG. 2 is a flowchart illustrating a method for providing library reference services using artificial intelligence (AI) and chatbots, according to some embodiments of the present disclosure.
Detailed Description
[00023] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00024] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00025] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items..
[00026] The present invention relates to library reference services, and in particular, to a system and method for providing personalized reference services to library users using AI and chatbots.
[00027] In line with different applications of the current disclosure, a diagrammatic representation of a system 100 (for providing library reference services using artificial intelligence (AI) and chatbots) that has been disassembled into its component pieces may be found in Figure 1. The following components may be included in some implementations of the system 100: an artificial intelligence (AI) engine 110 that is programmed to receive user inquiries and generate responses based on a database of knowledge; a chatbot module 120 that is programmed to facilitate communication between the user and the AI engine 110; a library reference database 140; and a user interface 130 that is programmed to display responses generated by the AI engine 110 and to facilitate communication between the user and the AI engine 110. In some implementations, there is a possibility that the library reference database (140) will include a collection of information (142) that is pertinent to the library.
[00028] The artificial intelligence engine 110 may, in certain implementations, make use of machine learning techniques in order to raise the accuracy and relevance of responses provided over the course of time. This is accomplished by increasing the amount of data that is used to train the engine. In some implementations of the system 100, a knowledge management module may be included into the overall structure. This knowledge management module would be in charge of keeping the knowledge database that the AI engine 110 would use up to date and maintained by it. In some implementations, the user interface 130 could contain a voice-enabled chatbot as a component of the user interface 130. Those who are visually impaired or disabled in some other manner will benefit from the assistance that this chatbot provides. The AI engine 110 in certain implementations may be configured to comprehend the user's intent and provide personalized recommendations based on the user's previous interactions with the system 100. These suggestions might be derived from the user's past activities inside the system 100 and how they interacted with it. Certain implementations of the technology need the library reference database 140 to be continuously updated with freshly obtained data in order to ensure the accuracy and applicability of the responses that are provided by the AI engine 110.
[00029] A flowchart representation of a method for providing library reference services using artificial intelligence (AI) and chatbots is shown in FIG. 2, which also includes a description of the technique in accordance with different embodiments of the present disclosure. The method may, in some implementations, include, at step 210, the process of receiving a user inquiry through a chatbot interface. In the 220th step of the process, the method may comprise employing an AI engine to generate a response based on the user query and a database containing information that was obtained in the past. At step 230, the process may include providing the user with the response that was created by using the graphical user interface that is provided by the chatbot (GUI). During the 240th step of the method, the procedure may entail doing anything at all, such as checking to see if the user is satisfied with the solution. If the user is not happy with the results of step 250 of the technique, the method may comprise providing further information or alternative responses until the user is satisfied with the results. If the user reports that they are pleased with the step, then the step was successful. Step 260 of the method may include updating the knowledge database in response to the feedback and recommendations provided by users.
[00030] In certain instances, the user's inquiry may be received through a number of channels, including voice-enabled assistants, text-based chatbots, mobile applications, and a variety of other alternative means. The AI engine 110may, in certain implementations, make use of natural language processing (NLP) technologies in order to interpret the user's inquiry and provide a response that is relevant to the query. This is done in order to provide the user with an appropriate answer. In certain implementations, the database of knowledge that is used by the AI engine may comprise information that originates from a variety of sources. This may be the case in other implementations as well. Catalogues of libraries, research databases, and other online resources are some examples of the types of sources that fall under this category.
[00031] The system and method described herein enable the provision of library reference services using artificial intelligence (AI) and chatbots. The system includes an AI engine that is configured to receive user inquiries and generate responses based on a database of knowledge. The chatbot module 120 facilitates communication between the user and the AI engine, and the user interface 130 displays the generated response and enables further communication with the chatbot.
[00032] To continuously improve the accuracy and relevance of responses provided by the AI engine, the system utilizes machine learning algorithms that learn from user interactions and feedback. The system also includes a knowledge management module that enables the continuous updating and maintenance of the database of knowledge used by the AI engine.
[00033] To improve accessibility, the user interface 130 includes a voice-enabled chatbot that can provide assistance to visually impaired or otherwise disabled users. The AI engine is further configured to recognize user intent and provide personalized recommendations based on the user's previous interactions with the system.
[00034] The library reference database 140 used by the system is continuously updated with new information from a variety of sources, including library catalogs, research databases, and other online resources. This ensures that the responses provided by the AI engine are accurate and relevant.
[00035] The method for providing library reference services using AI and chatbots includes receiving a user inquiry through a chatbot interface, using the AI engine to generate a response based on the user inquiry and a database of knowledge, displaying the generated response to the user through the chatbot interface, and determining if the user is satisfied with the response. If the user is not satisfied, the system provides additional information or alternative responses until the user is satisfied. The database of knowledge is then updated based on user feedback to continuously improve the system's accuracy and relevance.
[00036] Overall, this system and method enable efficient and effective provision of library reference services while also improving accessibility and continuously learning and improving over time.
[00037] The system 100 may contain an AI 110 that is set to accept user enquiries and provide replies based on a database of knowledge. The chatbot module 120 that is pre-programmed to ease conversation between the user and the AI engine 110 is another component that may be included in embodiments. The library reference database 140 that contains a collection of information on libraries and library-related topics is one example of an embodiment. In certain embodiments, there may additionally be theuser interface 130 that is capable of presenting the replies that are produced by the AI engine 110 and easing the process of communicating with the chatbot.
[00038] The AI engine 110 may, in certain implementations, make use of machine learning methods in order to enhance the precision and relevancy of replies made over the course of time. A knowledge management module may be included in the system in various implementations. This module is responsible for updating and maintaining the database of knowledge that is utilized by the AI engine. A voice-enabled chatbot is included in the user interface of some embodiments in order to provide help to users who are visually blind or handicapped in some other way.
[00039] The AI engine 110 may be designed in certain implementations to understand user intent and deliver tailored suggestions based on the user's past interactions with the system. It is possible that the library reference database 140 maybe continually updated with fresh information in some implementations. This will help to guarantee that the replies delivered by the AI engine 110 are accurate and relevant.
[00040] A method for delivering library reference services utilizing AI and chatbots may also be included in certain embodiments of the current disclosure. This method may involve receiving a user question via the user interface 130 that is modelled like a chatbot. Embodiments may further incorporate the usage of the AI engine 110 to provide a response based on the user's query and a database of previously acquired information. Displaying the produced answer to the user via the chatbot's interface is another possible embodiment.
[00041] In certain embodiments, there is also the possibility of detecting whether or not the user is happy with the answer. If the user is not happy with the replies that were provided, embodiments can comprise presenting the user with further information or alternative responses until the user is satisfied. In certain embodiments, upgrading the knowledge database in response to comments and suggestions from users is also possible.
[00042] In some implementations, the user enquiry may be received via a number of channels, such as text-based chatbots, voice-enabled assistants, or mobile apps, among other possible methods. The AI engine 110 may, in certain implementations, make use of natural language processing (NLP) methods in order to comprehend the user's question and provide an answer that is pertinent to it. In certain implementations, the database of knowledge that is used by the AI engine 110 is comprised of material gleaned from a wide range of resources, such as research databases, library catalogues, and other online sources of information.
[00043] Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
[00044] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00045] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.
[00046] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00047] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00048] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.
 

Claims
I/We Claim:
1. A system for providing library reference services using artificial intelligence (AI) and chatbots, the system comprising:
an AI engine configured to receive user inquiries and generate responses based on a database of knowledge;
a chatbot module configured to facilitate communication between the user and the AI engine;
a library reference database containing a collection of library-related information; and
a user interface for displaying responses generated by the AI engine and facilitating communication with the chatbot.
2. The system of claim 1, wherein the AI engine utilizes machine learning algorithms to improve the accuracy and relevance of responses over time.
3. The system of claim 1, further comprising a knowledge management module for updating and maintaining the database of knowledge used by the AI engine.
4. The system of claim 1, wherein the user interface includes a voice-enabled chatbot for providing assistance to visually impaired or otherwise disabled users.
5. The system of claim 1, wherein the AI engine is configured to recognize user intent and provide personalized recommendations based on the user's previous interactions with the system.
6. The system of claim 1, wherein the library reference database is continuously updated with new information to ensure the accuracy and relevance of responses provided by the AI engine.
7. A method for providing library reference services using AI and chatbots, the method comprising:
receiving a user inquiry through a chatbot interface;
using an AI engine to generate a response based on the user inquiry and a database of knowledge;
displaying the generated response to the user through the chatbot interface; determining if the user is satisfied with the response; providing additional information or alternative responses until the user is satisfied, if the user is not satisfied; and
updating the database of knowledge based on user feedback.
8. The method of claim 7, wherein the user inquiry is received through a variety of channels including text-based chatbots, voice-enabled assistants, or mobile applications.
9. The method of claim 7, wherein the AI engine utilizes natural language processing (NLP) techniques to understand the user inquiry and generate a relevant response.
10. The method of claim 7, wherein the database of knowledge used by the AI engine includes information from a variety of sources, including library catalogs, research databases, and other online resources.

AI AND CHATBOTS FOR LIBRARY REFERENCE SERVICES
Abstract
The existing disclosure may allow for the deployment of a chatbot system with the intention of assisting a user in reducing their feelings of social anxiety. A system like this one may include an AI engine that is pre-programmed to take in information from the user and analyze it. In certain embodiments, there is additionally a user interface that may be incorporated. This user interface has the capability of collecting input from users and showing output that is developed in a responsive manner by an artificial intelligence engine. In certain implementations, there is also a social anxiety reduction module that is designed to provide responsive output depending on the analysis of user input performed by an AI engine. This kind of module may be included. Positive affirmations, exercises in mindfulness, exposure treatment, and cognitive-behavioral therapy are some examples of what could be included in the response output. , Claims:Claims
I/We Claim:
1. A system for providing library reference services using artificial intelligence (AI) and chatbots, the system comprising:
an AI engine configured to receive user inquiries and generate responses based on a database of knowledge;
a chatbot module configured to facilitate communication between the user and the AI engine;
a library reference database containing a collection of library-related information; and
a user interface for displaying responses generated by the AI engine and facilitating communication with the chatbot.
2. The system of claim 1, wherein the AI engine utilizes machine learning algorithms to improve the accuracy and relevance of responses over time.
3. The system of claim 1, further comprising a knowledge management module for updating and maintaining the database of knowledge used by the AI engine.
4. The system of claim 1, wherein the user interface includes a voice-enabled chatbot for providing assistance to visually impaired or otherwise disabled users.
5. The system of claim 1, wherein the AI engine is configured to recognize user intent and provide personalized recommendations based on the user's previous interactions with the system.
6. The system of claim 1, wherein the library reference database is continuously updated with new information to ensure the accuracy and relevance of responses provided by the AI engine.
7. A method for providing library reference services using AI and chatbots, the method comprising:
receiving a user inquiry through a chatbot interface;
using an AI engine to generate a response based on the user inquiry and a database of knowledge;
displaying the generated response to the user through the chatbot interface; determining if the user is satisfied with the response; providing additional information or alternative responses until the user is satisfied, if the user is not satisfied; and
updating the database of knowledge based on user feedback.
8. The method of claim 7, wherein the user inquiry is received through a variety of channels including text-based chatbots, voice-enabled assistants, or mobile applications.
9. The method of claim 7, wherein the AI engine utilizes natural language processing (NLP) techniques to understand the user inquiry and generate a relevant response.
10. The method of claim 7, wherein the database of knowledge used by the AI engine includes information from a variety of sources, including library catalogs, research databases, and other online resources.