Rishikesh-Jadhav/LLM-and-RAG-based-Chat-Application-with-AlloyDB-and-Vertex-AI

This repository showcases an implementation of a chat application leveraging the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). By integrating AlloyDB and Vertex AI, the application delivers precise, contextually relevant responses to flight and airport inquiries.

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This project offers a specialized chat application that can answer complex questions about flights and airports. It takes natural language questions from users and provides precise, contextually relevant answers by looking up information in a dedicated database. This tool is designed for customer service representatives or airport information desk staff who need quick access to specific flight and airport details.

No commits in the last 6 months.

Use this if you need an AI-powered chatbot that can accurately answer specific flight and airport-related inquiries based on your organization's data.

Not ideal if your primary need is for a general-purpose conversational AI not focused on specific factual lookup or if you require support for domains other than flight and airport information.

customer-service airport-operations flight-information airline-support information-desk
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 2 / 25
Maturity 8 / 25
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Oct 26, 2024

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