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Factoid Question Answering System - An advanced Open-domain Question Answering (ODQA) project that automatically answers factoid questions in Arabic and English languages using NLP and machine learning techniques
It is an innovative repository housing a sophisticated Large Language Model (LLM) project, showcasing the intersection of advanced natural language processing and cutting-edge artificial intelligence. This repository serves as a comprehensive platform for the development, experimentation, and application of state-of-the-art language models.
This repository contains a Streamlit-based Document Question Answering System implementing the Retrieve-and-Generate (RAG) architecture, utilizing Streamlit for the UI, LangChain for text processing, and Google Generative AI for embeddings.
System uses Google Gemini which takes PDF and we have to ask question based on the context of that PDF. System will provide the answer of the question.