 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: May 2026
Volume 11 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24206
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Development of a RAG-Powered Chatbot for Government Services, answering citizen queries by retrieving from official government websites. |
| Authors Name: | R. Prabu Arokiyaraj , K. Saranya , S. Jesintha Chandrajothi , S. Latchya , J.Yogeswari |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212207
|
| Published Paper Id: | IJRTI2604341 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | This study aims to enhance the accessibility and precision of government service information by developing an intelligent chatbot system. Conventional approaches, including keyword-based search engines and rule-driven chatbots, frequently struggle to deliver accurate and contextually meaningful responses, which can result in user confusion and the spread of incorrect information. With the rapid growth of digital government data, manually locating relevant information has become increasingly inefficient for citizens. To address these challenges, the proposed system utilizes a Retrieval-Augmented Generation (RAG) framework. It gathers data from authorized government portals and official documents, processes the content using semantic analysis, and transforms it into vector embeddings stored within a vector database for fast and relevant retrieval. When a user submits a query, the system performs a semantic search to identify the most appropriate information and generates a response using a Large Language Model. By anchoring responses in verified and reliable sources, the chatbot minimizes misinformation and enhances trustworthiness. Additionally, a user-friendly web interface allows citizens to conveniently access information related to government schemes, eligibility requirements, and application processes. Experimental results indicate that the system significantly improves response accuracy, relevance, and overall user experience in accessing public service information. |
| Keywords: | Retrieval-Augmented Generation (RAG), Government Chatbot, Natural Language Processing (NLP), Large Language Models (LLM), Semantic Search, Vector Database. |
| Cite Article: | "Development of a RAG-Powered Chatbot for Government Services, answering citizen queries by retrieving from official government websites.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c568-c573, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604341.pdf |
| Downloads: | 000205510 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2604341
Registration ID:212207
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c568-c573 Country: Tiruvannamalai, Tamilnadu, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604341 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604341 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||