 |
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: December 2025
Volume 10 | Issue 12
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 : 10
Issue Published : 115
Article Submitted : 19457
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Embedding-Based Vector Search for Large Scale Text Retrieval |
| Authors Name: | Dr Vinod Kumar P , Kampana R , Neha Merin D`Souza , Nishanth M Jadav , Sharath P |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205887
|
| Published Paper Id: | IJRTI2508158 |
| Published In: | Volume 10 Issue 8, August-2025 |
| DOI: | |
| Abstract: | Embedding-based vector search marks a transformative shift in information Re-trieval, particularly for large-scale textual datasets where conventional keyword-based methods fall short in capturing semantic relevance. This approach reframes text retrieval as a semantic similarity task, representing documents—such as legal or academic texts—as high- dimensional vector embeddings using advanced natural language processing (NLP) models like BERT or RoBERTa. These embeddings encapsulate the contextual and conceptual essence of the documents, enabling re-trieval based on meaning rather than exact keyword matches. |
| Keywords: | Vector Search ,Semantic Similarity, Embedding Generation ,Natural Language Processing (NLP) ,FAISS ,Retrieval-Augmented Generation (RAG) , Generative Al , Information Retrieval |
| Cite Article: | "Embedding-Based Vector Search for Large Scale Text Retrieval", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.b448-b450, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508158.pdf |
| Downloads: | 000171 |
| 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: IJRTI2508158
Registration ID:205887
Published In: Volume 10 Issue 8, August-2025
DOI (Digital Object Identifier):
Page No: b448-b450 Country: Mysuru, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2508158 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2508158 |
| 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 © 2025 - All Rights Reserved - IJRTI | |||