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Knowledge GraphHospitalityDataGraphRAG
ThreadFinder RAG System
An AI-powered analysis agent that uses Knowledge Graph RAG to uncover hidden cultural insights and temporal patterns within unstructured hospitality data.
Analysis SpeedWeeks → Hours
Data SourcesMultimodal
ArchitectureGraphRAG
Interface Telegram
Overview
Keyllective, a hospitality brand in Thailand, needed to transform hotels into authentic community destinations. We built ThreadFinder, a Knowledge Graph RAG agent that ingests massive datasets of local interviews, podcasts, and videos to uncover deep cultural narratives that a foreigner simply couldn't see.
The Challenge
Unstructured Chaos: The client possessed terabytes of audio, video, and text from local businesses but no way to synthesize it.
Cultural Nuance: Capturing the "true voice" of a community requires connecting non-obvious dots that standard keywords miss.
Time Sensitivity: Hospitality trends evolve rapidly; manual analysis was obsolete before it was finished.
Knowledge Graph Architecture
We moved beyond standard vector search. ThreadFinder uses advanced ETL pipelines to transform media into a structured Knowledge Graph, mapping nodes (entities) and edges (relationships) to surface clusters of meaning.
Multimodal Ingestion
Ingests interviews, podcasts, and videos, transcribing and vectorizing them for analysis.
GraphRAG
Maps complex relationships between people, events, and cultural sentiments across time.
Telegram Native
A seamless conversational interface allowing the founder to query the collective wisdom of the community instantly.
Ready to build this?
We can deploy a similar architecture for your organization in as little as 4 weeks.
Case Study ID: rag-systGalang AI © 2025