- Published on June 19, 2023
- In AI Features
Neo4j’s Role in Fueling Generative AI with Graph Technology
The integration of LLMs and Neo4j's graph database technology improves efficiency and accuracy.
- By Shritama Saha
Databases or data structure servers form the backbone of generative AI, powering its capabilities. From real-time champion Redis helping LLM-powered chatbots like ChatGPT to keep the conversation going, to enterprises building chatbots integrating NoSQL hero MongoDB Atlas and Google Cloud Vertex AI PaLM API, database companies are at the forefront of the generative AI revolution, driving its progress.
Amidst this revolution, graph database pioneer Neo4j takes a strategic approach, playing the long game – i.e. building trust in generative AI. “We provide fuel for generative AI companies in the form of high-quality, structured graph data,” said Dr Jim Webber, chief data scientist, Neo4j, in an exclusive interview with AIM at their Annual Graph Summit, held last week
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Shritama Saha
Shritama (she/her) is a technology journalist at AIM who is passionate to explore generative AI with a special focus on big techs, database, healthcare, DE&I, hiring in tech and more.
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