Abstract

Xavier AI revolutionizes customer support by providing businesses with an intelligent chatbot platform powered by LLMs. Offering 24/7 availability and context-aware responses, Xavier AI enhances customer experience while reducing operational costs. With features like seamless website integration, comprehensive analytics, and human escalation, the platform empowers businesses to deliver exceptional support effortlessly.

Introduction

Customer service is a cornerstone of business success but is often hampered by high costs, limited availability, and a lack of personalization. Many businesses struggle to provide immediate responses to customer queries, leading to dissatisfaction and lost opportunities.

This project introduces an AI-powered chatbot platform that enables businesses to overcome these challenges by:

• 24/7 availability to handle customer queries without interruptions.
• Smart, context-aware responses powered by the Mistral Instruct 7B 0.2 model.
• Comprehensive analytics and insights to refine customer interactions.
• Easy integration with websites and seamless transitions to human support when necessary.

Features and Technology

Features:

1. Comprehensive Knowledge Training

Xavier AI has the ability to train chatbots using diverse data sources, including PDF documents, web knowledge bases, and APIs. For small knowledge bases, the platform employs RAG with the Mistral Instruct 7B 0.2 model to retrieve relevant information and generate precise responses. For larger knowledge bases, it leverages BM25 to retrieve the most pertinent information, enabling the LLM to craft responses based on the retrieved content.

2. Intuitive Knowledge Management

Businesses can easily edit and update their chatbot’s knowledge base through an intuitive interface, ensuring that responses remain accurate and up-to-date. This real-time management capability reduces operational overhead while enhancing the chatbot’s utility.

3. Seamless Website Integration

The Xavier AI chatbot integrates effortlessly into any website using a simple embed code. Its professional live chat widget complements the website’s aesthetics, delivering instant support while maintaining brand consistency.

4. Real-time Analytics and Testing

Comprehensive analytics empower businesses to monitor chatbot performance, track user satisfaction, and identify areas for improvement. The platform also supports real-time testing of chatbot interactions, enabling iterative enhancements.

5. Human Support Escalation

When complex situations arise that require human intervention, users can escalate conversations to support agents through support tickets.

Technology Stack:

• AI Model: Mistral Instruct 7B 0.2 for natural language understanding and response generation.
• Frontend: Angular for building responsive user interfaces.
• Backend: Flask and SQLAlchemy for API development and database management.
• Text/Data Extraction: I utilized tools like Beautiful Soup for extracting data from web-based knowledge
  bases and PyMuPDF for extracting data from PDFs.
• Hosting: Hugging Face Spaces for the AI model , Vercel for scalable frontend hosting and render for
  backend hosting

Methodology

The chatbot platform employs the following pipeline:

Data Ingestion

The platform supports comprehensive data ingestion, enabling businesses to train chatbots using diverse sources:

• PDF, TXT, and DOC Documents: Extracts and organizes text data from uploaded files, converting it into
  a structured format.
  knowledge for the chatbot.
• Web Pages: Uses web scraping tools such as Beautiful Soup and urllib to crawl and extract content
  from specified URLs, converting web knowledge into accessible information for the chatbot.
• APIs: Integrates external APIs to enrich the chatbot's knowledge base dynamically, enabling real-time
  updates and custom functionality.

Knowledge Retrieval and Generation

The platform adapts to varying knowledge base sizes by employing two distinct methodologies:

• For Small Knowledge Bases: Implements Retrieval-Augmented Generation (RAG), where the Mistral
  Instruct 7B 0.2 model retrieves relevant information directly from the knowledge base and generates
  contextually accurate responses.
• For Large Knowledge Bases: Utilizes the BM25 algorithm for efficient retrieval of relevant information.
  The retrieved data is then fed into the Mistral Instruct 7B 0.2 model to generate responses that are both
  precise and conversational.

Model Deployment

The core of the chatbot platform is the Mistral Instruct 7B 0.2 model. This state-of-the-art language model delivers highly accurate and human-like responses. The model is optimized to understand user queries and generate meaningful interactions.

Integration

Chatbots are seamlessly integrated into business websites via a simple embed code. The live chat widget maintains the website's visual aesthetic while enabling instant user support. This approach ensures ease of implementation and consistent branding.

Performance Analytics

The platform includes a robust analytics system that monitors chatbot performance in real time. Key functionalities include:

• Tracking user satisfaction and engagement metrics.
• Identifying frequently asked questions (FAQs).
• Providing actionable insights to improve chatbot training and optimize responses.
• Businesses can leverage these analytics to make data-driven decisions, refine their chatbot's
• performance, and align with customer needs effectively.

How It Works

Xavier AI makes it easy for businesses to create, manage, and monitor AI-powered chatbots. Here's a step-by-step guide on how it works:

1. Sign Up & Setup

• Create an account on Xavier AI by signing up with your email.
• Create and set up your chatbot

2. Train Your Chatbot

• Upload knowledge sources like website URLs, PDFs, FAQs, or customer service logs.
• Xavier AI processes this data using AI and NLP to build a smart chatbot.
• You can test the chatbot and refine responses as needed.

3. Deploy on Platform

• Embed the chatbot on your website with a simple script.

4. Real-Time Customer Interaction

• Users ask questions, and the chatbot provides instant, AI-powered responses.
• It retrieves relevant information from your knowledge base.
• If needed, complex queries are escalated to human support.

5. Escalation & Support Tickets

• If the chatbot cannot resolve a query, users can escalate the issue by creating a support ticket.
• Support tickets can be tracked and managed through the Xavier AI platform.
• Businesses can assign and resolve tickets efficiently, ensuring a smooth customer support experience.

6. Monitor & Improve with Analytics

• Track chatbot performance through a dashboard showing:
  • Total questions asked
  • Most common topics
  • Peak usage hours
  • User satisfaction metrics
  • Use these insights to update and optimize responses.

7. Continuous Learning & Optimization

• You can update the knowledge base anytime for better accuracy.

With Xavier AI, businesses can provide 24/7 automated support, reduce workload, and manage escalations seamlessly through support tickets. 🚀

Results

The platform is currently live here :

XavierAI

Future Enhancements

• Expanding support for multichannel integration.

• Enhancing support for audio and video-based customer interactions.

• Implement a dynamic system where the chatbot asks the user if they need to escalate their issue. If the
  user agrees, the chatbot should automatically generate a support ticket form.

• Upgrade the ticket management feature to enable customer service staff to email responses directly to
  the user's email address through the website interface.

Conclusion

The Xavier AI platform improves customer support by using AI technology, including the innovative use of Retrieval-Augmented Generation (RAG). Its ability to adapt to varying knowledge base sizes ensures businesses can provide exceptional, cost-effective customer service. With its robust feature set Xavier AI represents the future of intelligent customer support solutions

Got questions? Fire away at our AI chatbot widget .If it can't hack your query, just pop a support ticket and we'll handle it.