Neo4j announced a new product integration with Google Cloud’s latest generative AI features in Vertex AI, Google’s leading large language model (LLM) platform.
The result empowers enterprise customers to harness knowledge graphs built on Neo4j’s fully managed cloud offerings in Google Cloud Platform for generative AI insights and recommendations that are more accurate, transparent and explainable.
Neo4j’s graph database and analytics capabilities can be used to create knowledge graphs, which capture relationships between entities, enabling AI systems to reason, infer and retrieve relevant information effectively. The result ensures more accurate, explainable and transparent outcomes for large language models (LLMs) and other generative AI systems.
Specific integrations with Google’s generative AI capabilities in Vertex AI enable enterprise customers to leverage natural language to interact with knowledge graphs, Vertex AI’s generative AI capabilities can be used to provide a natural language interface to the knowledge graph.
In this case, Cypher query language statements are generated from user input and used to query the database. This allows non-technical users unfamiliar with database query languages to access the knowledge graph. Vertex AI will soon provide this capability to existing dashboarding and other user tools that are already used by most Neo4j customers.
