SafarGlimpse: AI That Plans Real Trips – Realistic itineraries using Graph and RAG technology

Summary: SafarGlimpse generates travel itineraries grounded in real-world data by combining graph-based clustering with retrieval-augmented generation (RAG). It produces walkable, practical plans that reflect actual travel flow and reduce AI hallucinations common in language-only models.

What it does

It uses a hybrid engine that clusters nearby places based on distance and logical travel flow, then grounds AI-generated itineraries in structured place data to ensure accuracy and feasibility.

Who it's for

Travelers and developers seeking AI-generated itineraries that reflect realistic spatial and logistical constraints rather than generic language-based suggestions.

Why it matters

It addresses the gap where typical AI travel tools fail by treating travel as a spatial problem, producing plans that work effectively in real-world conditions.