Talk to document using graph rag and knowledge graph

Information Technology

In the current age of advanced technologies and numerous data processes, obtaining useful contents from long, unorganized pieces of writing is still very hard. The standard ways of searching do not work well most of the times such as the relevance and precision of the answers. Therefore, we suggest the existence of an intelligent chatbot system, which extends upon the existing methods by further imbibing several new technologies like Large Language Models (LLM), Graph RAG and Knowledge Graphs. In this system, users can upload large files and ask questions to receive precise answers based on the context. With the enhanced solution, people utilize LLMs to comprehend sophisticated queries and Knowledge Graphs to interlink the data in a logical way. The system also applies community detection, which involves organizing similar information into perspectives to help in the rapid processing of queries. This method weaves complex data and technology together with users in mind for better results when searching for information. It is an easier, faster, and more effective way to obtain relevant information across a variety of fields such as academic studies, medicine, and information management systems.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.