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NICKONN – AN AI-POWERED SEARCH ENGINE POWERED BY LLAMA MODEL

Authors:

Jeet Biswas, Mainak Biswas, Biplab Shil, Avik Biswas, Jayshree Bhattacharya, Dr. Pranati Rakshit

Abstract: With the growing volume of information on the internet, retrieving accurate, relevant, and context-aware content has become a significant challenge. Traditional search engines rely heavily on keyword matching and static ranking, often overlooking the semantic context behind user queries. This project presents Nickonn – An AI-Powered Search Engine, a modular, AI-enhanced, and privacy-first platform that delivers summarized, intelligent, and referenced responses by integrating open-source metasearch technology (SearxNG) with transformer-based language models such as GPT, LLaMA, and Mixtral. Nickonn offers complete offline functionality, enabling secure deployment in educational and enterprise environments. Built with React, Next.js, and Node.js, the system efficiently interprets user intent, aggregates data from trusted sources, and presents answers with citation tracing. Performance evaluation and a comparative study with existing AI search engines reveal Nickonn’s superiority in contextual accuracy, privacy assurance, and user trust.

Keywords- AI Search Engine, Semantic Search, Natural Language Processing, Large Language Models, SearxNG, Open Source, Local Deployment, Information Retrieval, GPT, Data Privacy