LLM Powered Intelligent Document Chatbot
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Date
2025-06-15
Journal Title
Journal ISSN
Volume Title
Publisher
Mohamed Boudiaf University of M'sila
Abstract
In the business world, documents play a foundational role for companies, especially given its
influence on the company's future in the term of decision-making, business progress, financial
statements, its profits, and its long-term survival in the market.
With the company's growth and evaluation, employees found themselves with the need of
speed and quality to efficiently handle the documents, requiring their concentration, effort, and
considerable time, which occasionally leads to unsuccessful outcomes. As a solution for this
problem, we proposed RAGDocAI Chat, which is a chatbot that offers a user-friendly interface
that lets the employees or users effectively interact with the internal documents of their
company, with comparable performance and accuracy to models such as ChatGPT and Grok,
and deepseek using the power of large language models( LLMs) to generate insightful, infered
answers based on the documents and the user's query in natural language.RAGDocAI also use
Retrieval Augmented Generation technologies such as traditional RAG, Advanced RAG,
GraphRAG, and AgenticRAG to build a knowledge domain from these documents, reducing
the hallucination of the LLM due to its limited knowledge of those domains or not very
familiar with them
Description
Keywords
LLMs, Query, Documents, RAG, Advanced RAG, Graph RAG, Agentic RAG, Knowledge