Graph AI for Quantitative Evaluation of Compatibility in Traditional Chinese Medicine (TCM)
An explainable AI system that combines Graph Intelligence, Vector Search, and Retrieval-Augmented Generation (RAG) to deliver grounded answers and transparent reasoning paths. Includes a FastAPI backend, Streamlit UI, FAISS vector index, and an in-memory knowledge graph for hybrid retrieval and recommendations.
AI-native Agentic AI platform for customs & HTS classification, tariff analysis, trade compliance and multi-tier supply chain risk intelligence.
Explore AI writing systems with agents, graphs, adapters, RAG, and multi-model generation workflow.
From MVP to business value: explainable AML AI ready for real-world deployment.
Compare LLM text embeddings with structure-aware Graph AI (GNN link prediction) on any dataset with nodes, text, and edges.
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