Neo4j Announces New Integrations With Google Cloud
- By Paul Mah
- June 13, 2023
Graph database and analytics firm Neo4j has announced new product integrations with the latest generative AI features in Google Cloud’s Vertex AI.
The new integrations will allow enterprises to harness knowledge graphs built on Neo4j's fully managed cloud offerings in the Google Cloud Platform for generative AI insights and recommendations.
Growing interest in graph
Knowledge graphs capture relationships between entities, enabling AI systems to reason, infer, and retrieve relevant information effectively. When harnessed to train large language models (LLMs) and generative AI systems, the result is more accurate, explainable, and transparent outcomes.
Beyond generative AI, there is also growing interest in the use of graph database technology given its suitability in capturing relationships between entities. Indeed, we wrote last month about LinkedIn’s proprietary Graph implementation that handles two million queries per second.
According to Neo4j, specific integrations with Vertex AI will enable enterprise customers to leverage natural language to interact with knowledge graphs, allowing non-technical users unfamiliar with database query languages to access the knowledge graph.
Moreover, developers can leverage new generative AI capabilities in Vertex AI to process unstructured data, structure it, and load it into a knowledge graph.
Other capabilities include the ability for Neo4j databases to call Vertex AI services in real-time to enrich knowledge graphs, augmenting generative models with data from structured sources, and knowledge graphs grounding, where responses received from LLMs can be validated against enterprise knowledge graphs to avoid hallucinations.
Taken together, the new capabilities serve to make generative AI outcomes more accurate, transparent, and explainable.
“Businesses are undergoing data- and AI-driven transformations at an unprecedented rate,“ said Nenshad Bardoliwalla, director of product management for Vertex AI, Google Cloud.
According to Bardoliwalla, the new integrations between Neo4j and Vertex AI will help businesses create more value and impact with their data and LLMs through capabilities such as real-time enrichments and grounding, pattern identification in large datasets, and new abilities to explore their data with natural language.
“Neo4j's partnership with Google represents a powerful union of graph technology and cloud computing excellence in a new era of AI,“ said Emil Eifrem, the co-founder and CEO of Neo4j.
“Together, we empower enterprises seeking to leverage generative AI to better innovate, provide the best outcome for their customers, and unlock the true power of their connected data at unprecedented speed.“
Paul Mah is the editor of DSAITrends. A former system administrator, programmer, and IT lecturer, he enjoys writing both code and prose. You can reach him at [email protected].
Image credit: iStockphoto/Nastco
Paul Mah
Paul Mah is the editor of DSAITrends, where he report on the latest developments in data science and AI. A former system administrator, programmer, and IT lecturer, he enjoys writing both code and prose.