This application empowers users to engage in meaningful interactions with textual content extracted from uploaded PDF documents. The central focus of this project is to enable multi-turn conversations with the chatbot while ensuring the preservation of conversation context and history. This functionality is designed to facilitate seamless and interactive information retrieval.
Functional Requirements:
Multi-turn Conversation:
The chatbot supports multi-turn conversations, allowing users to ask follow-up questions and maintain a continuous dialogue. The chatbot remembers the context throughout the conversation, ensuring that interactions feel natural and coherent. Context Preservation:
The chatbot retains context from prior interactions, including previous questions and responses. This feature enables the chatbot to engage intelligently in a conversation, taking into account what has been discussed earlier. Defining Conversation Boundaries:
The application defines clear starting and ending points for each interaction with the chatbot. This practice is essential for effectively structuring and managing the flow of communication, resulting in well-organized and coherent conversations. Enhancements:
Chat History:
Implemented a feature that displays the chat history on the left side of the app. Users can review previous interactions, and the chat history updates in real-time as new messages are exchanged. New Chat Button:
Added a new chat button or a similar user interface element that allows users to start a fresh conversation easily. This enhances the user experience by providing a clear mechanism to initiate new interactions. User Experience:
Ensured that the new features are seamlessly integrated into the existing app. User interactions, including PDF uploads, questions, and responses, remain functional and user-friendly. The interface maintains a clean and intuitive design, prioritizing a positive user experience.