
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 2
2025
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Enhancing Content Indexing and Customer Support with JSONL and AI Integration
Author(s) | Bhanu Phanindra Babu Gogula |
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Country | United States |
Abstract | This article explores the transition from traditional sitemap-based indexing to a JSONL-powered system enhanced with AI capabilities for managing knowledge base content. Facing challenges with incomplete indexing, delayed updates, and scalability issues, the organization implemented a comprehensive solution leveraging JSONL format, Google Cloud storage, and automated maintenance processes. The new approach stores HTML-converted knowledge base articles in a Google bucket, indexes them through a metadata-rich JSONL file, and employs an AI-powered chatbot for intelligent retrieval and summarization. This technical transformation has revolutionized content accessibility, resulting in substantial improvements to customer self-service capabilities, significant cost reductions in support operations, enhanced customer satisfaction metrics, and a dramatic decrease in support cases requiring live agent intervention. |
Keywords | Keywords: Content Indexing, JSONL Implementation, AI Integration, Knowledge Base Automation, Customer Support Optimization. |
Field | Computer |
Published In | Volume 16, Issue 1, January-March 2025 |
Published On | 2025-03-16 |
Cite This | Enhancing Content Indexing and Customer Support with JSONL and AI Integration - Bhanu Phanindra Babu Gogula - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2448 |
DOI | https://doi.org/10.71097/IJSAT.v16.i1.2448 |
Short DOI | https://doi.org/g88sbm |
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