Knowledge Graphs are becoming central to data science

As we launch the AI ​​review site AICritique, our first feature will be on knowledge graphs, which have seen increasing standardization in recent years and a dramatic increase in the number of companies entering the field.

Knowledge graphs (KGs) began to attract attention when Microsoft released GraphRAG on GitHub in July 2024 as a means of implementing RAG (Retrieval-Augmented Generation) to correct hallucination in LLMs (large-scale language models). However, a little research into knowledge graphs reveals that this technology is not something that just started recently; the standardization of the technology has progressed considerably, and a company called Neo4j has made great strides in the underlying graph database, with the number of companies entering the market approaching 100.

First, let’s look at the players from here:

Graph Database
Startups

  • tada@aicritique.org

    He has been a watcher of the industrial boom from the early 1980s to the present day. 1982, planner of high-tech seminars at the Japan Technology and Economy Centre, and of seminars and research projects at JMA Consulting; in 1986 he organised AI chip seminars on fuzzy inference and other topics, triggering the fuzzy boom; after freelance writing on CG and multimedia, he founded the Mindware Research Institute, selling the Japanese version of Viscovery SOMine since 2000, and Hugin and XLSTAT since 2003 in Japan. The AI portal site, www.aicritique.org was started in 2024 after losing the rights to XLSTAT due to a hostile takeover in 2023.

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