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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
End-To-End Text-To-SQL System: Leveraging LLMs For Automated SQL Query Generation
Authors
M. JAGADEESH, SAPARE NEELAKANTA, VEMULA NIKHIL, TUMMULA LOCHAN, KASSETTY VENKATA NAGA HEMANTH KUMAR
Keywords
Text-to-SQL, Large Language Models, WikiSQL, SQL
Abstract
Structured Query Language (SQL) is essential for managing relational databases, yet many non-technical users struggle to write accurate queries. Our project, End-to-End Text-to-SQL System: Leveraging LLMs for Automated SQL Query Generation, addresses this challenge by using Large Language Models (LLMs) to translate natural language inputs into SQL statements. Trained on datasets like WikiSQL, these models learn to generate precise queries across diverse schemas. The system features a user-friendly web interface, enabling users to retrieve data effortlessly without SQL expertise. We evaluate multiple LLMs based on accuracy, efficiency, and execution time to select the best performer. This approach enhances database accessibility, minimizes query errors, and boosts productivity. Future work includes supporting complex queries, schema adaptation, and conversational refinement.
IJCRT's Publication Details
Unique Identification Number - IJCRT2504592
Paper ID - 282138
Page Number(s) - f153-f160
Pubished in - Volume 13 | Issue 4 | April 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
M. JAGADEESH, SAPARE NEELAKANTA, VEMULA NIKHIL, TUMMULA LOCHAN, KASSETTY VENKATA NAGA HEMANTH KUMAR, "End-To-End Text-To-SQL System: Leveraging LLMs For Automated SQL Query Generation", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.f153-f160, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504592.pdf
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Volume 14 | Issue 2
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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