RAG Trip Planner
Project Overview
A smart travel assistant utilizing Retrieval-Augmented Generation to provide highly accurate and contextual travel itineraries.
The Challenge
Standard LLMs often hallucinate travel routes or recommend closed/outdated locations.
The Solution
Implemented RAG to pull live data from trusted travel APIs, grounding the AI's recommendations in factual data.
Client Rating
4.9
Key Results
Generated highly reliable and realistic travel plans.
Increased user trust in AI recommendations.
Technology & Skills
PythonRAGLLM