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Air India RAG Chatbot Development

Develop an AI-powered chatbot tailored for Air India, leveraging AWS Bedrock APIs for natural language processing. This chatbot will provide real-time support by answering queries about flight schedules, bookings, and various airline services, utilizing a knowledge base of Air India-related documents.

6 lectures

What You Will Learn

Mastering the use of AWS Bedrock for NLP tasks.
Implementing Retrieval-Augmented Generation (RAG) to enhance chatbot responses.
Building a real-time chatbot for customer support using AI.
Integrating a chatbot with an existing knowledge base.
Understanding the architecture of cloud-based AI solutions.
Applying machine learning concepts to improve chatbot performance.
Fine-tuning LLMs for domain-specific applications.

System Architecture

Air India RAG Chatbot Development Architecture Diagram

High-level architecture overview of the Air India RAG Chatbot Development .

What You'll Build

  • A functional Air India chatbot prototype.
  • An information retrieval system connected to the chatbot.
  • An AI model integrated with AWS Bedrock.
  • A user interface for interacting with the chatbot.
Air India RAG Chatbot Development
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