Published Paper Details:

Modern digital information growth now requires PDF documents for essential operations such as education research and legal applications. Browsing PDF files by hand results in inefficient time-spending processes for locating necessary information. A paper explores the development of an artificial intelligence chatbot platform that makes PDF document interactions more efficient through natural language command inputs. Through Streamlit development the system delivers an easy-to-use interface which permits users to add PDF files then immediately retrieve context-specific responses. With LangChain for document parsing and retrieval and OpenAI's large language model for response generation and FAISS for semantic similarity search the system operates in the backend. The integrated system components extract meaningful answers which directly come from document content. Users gain improved text consumption experiences through the chatbot which operates as a better and quicker substitute for standard reading methods together with search tools. The evaluation shows users are pleased with this solution as it performs efficiently with different documents.