Welcome to the Enterprise Chatbot designed specifically for Information Technology University (ITU). We’ve meticulously gathered and curated data pertaining to faculty, scholarships, and admissions at ITU. Our comprehensive pipeline, meticulously crafted after thorough data cleaning, integrates cutting-edge technologies to ensure optimal performance.
Our pipeline boasts a robust architecture, featuring a question classifier, retrieval-augmented generation (RAG) module, code generation module, and the powerful GPT-3.5-Turbo-1106 as our Large Language Model (LLM). This sophisticated setup enables us to generate responses that closely mimic human conversation, enhancing user experience significantly.
To complement our advanced backend, we’ve developed an intuitive frontend using React, seamlessly connected to our backend pipeline via Flask. This integration ensures a smooth user experience while harnessing the full potential of our chatbot.
Deployment of our model is handled efficiently through AWS EC2 and S3 bucket, ensuring reliability and scalability. It’s worth noting that our chatbot is tailored exclusively for ITU, providing accurate responses to queries specific to its domain.
Key technical features include:
- Seamless integration of Large Language Models (GPT-3.5-Turbo-1106) for natural language understanding and generation.
- Utilization of Chroma DB of Langchain to store vector embeddings created by the Ada-V2 embedding model.
- LLM-based classifier and code-generation module.
- Effective configuration of user queries before employing RAG, utilizing techniques such as generating multiple similar user queries from a single input, converting queries into SQL, and employing the HyDE method to convert queries into general documents.
- A blend of RAG techniques including Naïve RAG, Window sentence RAG, and Hierarchical RAG, tailored to our specific data requirements.
- Utilization of Flask web interface to seamlessly communicate with the frontend developed in React.
- Deployment using AWS EC2 and S3 bucket for both frontend and backend for demonstration purposes.
Results:
- Enhanced Student Support: Experience significantly improved query responses tailored to students’ needs.
- Personalized and Accurate Assistance: Receive personalized and knowledge-based responses surpassing typical rule-based chatbots.
- Seamless 24/7 Support: Access perfect 24/7 customer care, ensuring continuous assistance and support.
Demo Link:
This demo is specifically tailored for ITU, offering a sophisticated chatbot solution designed to efficiently address user queries pertaining to faculty, admissions, and scholarships at the institution.
Please click on the following link to test our Enterprise Chatbot.
http://enterprise-chatbot.s3-website-us-east-1.amazonaws.com
