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Graph RAG: Empower Large Language Model with Structured Knowledge
Graph RAG represents a shift from text-centric retrieval to structure-aware understanding to enable:
1. More consistent answers
2. Better global context
3. Reduced hallucination
4. Stronger reasoning over relationships
Rather than asking LLMs to guess structure from text at generation time, Graph RAG makes structure explicit upfront.
Ting-Yuan Wang
Jan 213 min read


Apotek Genesis "Antibody Redesign": Expediting Antibody Discovery
Apotek Genesis "Antibody Redesign" is a platform-based antibody optimization solution that enables rapid exploration of CDR sequence space, structural prediction, and binding affinity ranking—accelerating the path from lead antibody to optimized therapeutic candidate.
Jack Li
Jan 63 min read


Innovation Endorsed: Landmark Patent for Physical AI Granted by U.S. Patent and Trademark Office (USPTO)
"Machine-learning Method on Vectorized Three-Dimensional Model and Learning System Thereof" describes a novel method for utilizing vectorized 3D models to generate synthetic data of real-world objects for AI training. It can be applied for various applications, including object identification and anomaly detection, where training data are difficult or economically infeasible to acquire, and the robotic agents need these capabilities to function and swiftly interact with the p
Ting-Yuan Wang
Jan 52 min read
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