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What If Your LLM Is a Graph? Researchers Reimagine the AI Stack
- The global knowledge graph market is projected to reach $6.93 Billion by 2030 from $1.06 Billion in 2024, with a CAGR of 36.6%.
- Market signals indicate a growing adoption of graph technology in various industries.
- Graph landscape is evolving rapidly with new graph database engines, Graph RAG variants, and applications at scale.
- Building and evaluating knowledge graphs as durable assets is emphasized, highlighting the importance of understanding their value.
- Knowledge graphs are considered organizational CapEx, contributing to data governance and AI applications.
- Knowledge graphs power household products like the Samsung Galaxy S25 and ServiceNow through acquisitions.
- Graph technology is crucial for pragmatic AI, providing the essential truth layer for trustworthy AI adoption.
- Various Graph RAG variants like OG-RAG, NodeRAG, and GFM-RAG are emerging, enhancing retrieval-augmented generation for LLMs.
- Graph database engines are evolving, and advancements in standardization and performance are observed in the market.
- New capabilities in graph analytics and visualization are introduced, along with developments in Graph Foundation Models and LLM applications.
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