Personalized Knowledge Extraction And Query Answering Via Semantic Search

10 Jun

Authors: Deepanshu Bhati, Surya Prakash, Surat Singh, Mr. Ibrar Ahmad

Abstract: This paper proposes a novel approach to enhancing personal knowledge management through a webbased system that integrates semantic search and future Retrieval-Augmented Generation (RAG) capabilities. By leveraging large language models (LLMs) and embedding techniques, the system aims to improve the efficiency and accuracy of retrieving relevant documents and links from personal collections. The system addresses the limitations of traditional keyword-based search methods by providing context-aware query understanding and retrieval.

DOI: http://doi.org/