duynguyenxc/LLM-Knowledge-Graph

The project is a specialized implementation of Multi-Agent Systems (MAS) and GraphRAG applied to the academic niche of Realist Systematic Reviews. While the specific focus on PRISMA compliance and benchmarked entity counts (1,318 entities) shows domain-specific effort, the quantitative signals (1 star, 0 forks, 114 days old) indicate zero market traction and categorize this as a personal research project or thesis artifact. From a competitive standpoint, there is no technical moat; the multi-agent logic can be easily replicated using frameworks like LangGraph or CrewAI. Frontier labs (OpenAI, Google) are aggressively targeting the 'research assistant' vertical—Google's NotebookLM and OpenAI’s advanced reasoning models (o1) are already capable of complex synthesis. This project faces immediate displacement risk from generic AI research platforms like Elicit, Consensus, or specialized GraphRAG implementations from larger players like Microsoft. The defensibility is low because it relies on standard RAG patterns without a proprietary dataset or a unique infrastructure-level innovation.