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    <Journal>
      <PublisherName>ijesm</PublisherName>
      <JournalTitle>International Journal of Engineering, Science and</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>volume 15,issue 8</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>August 2026</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2026</Year>
        <Month>08</Month>
        <Day>13</Day>
      </PubDate>
      <ArticleType>Engineering, Science and Mathematics</ArticleType>
      <ArticleTitle>Reducing Hallucinations in Large Language Models Using Retrieval-Augmented Generation</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>64</FirstPage>
      <LastPage>72</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Tanmay Sharma</FirstName>
          <LastName/>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
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      <DOI/>
      <Abstract>Large Language Models (LLMs) are commonly used for answering questions, writing texts, summarizing documents, and supporting various digital services. Nevertheless, such models may sometimes give out facts which appear to be true yet are incorrect and unsupported by evidence. A hallucination is this issue. Hallucinations are dangerous as people might believe inaccurate information, particularly within education, health care, law enforcement, finance and research. RAG is one of those methods that help with it. An RAG system searches an external knowledge base for information about a user__ampersandsignrsquo;s query</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>artificial intelligence, explainable AI, fair AI, medical imaging, deep learning, healthcare</Keywords>
      <URLs>
        <Abstract>https://www.ijesm.co.in/ubijournal-v1copy/journals/abstract.php?article_id=16350&amp;title=Reducing Hallucinations in Large Language Models Using Retrieval-Augmented Generation</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
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