Structured AI with Neo4j

This blog post by Christoffer Bergman, Director of Engineering at Neo4j, explores the integration of AI with Neo4j through new Cypher functions that enhance AI application development. It introduces a new Cypher procedure for structured text completion, highlighting the potential of AI beyond simple chat experiences by incorporating structured outputs for application functionality. Bergman uses an anecdote about rolling a die to demonstrate the feature's concept of "predictable randomness." The post further delves into a practical application: an AI-powered dinner planner and recipe generator. This uses structured outputs to generate recipes based on user preferences, dietary restrictions, and past menu history, and stores them in a graph format for better organization and recommendations. The structured data allows for the creation of shopping lists and even potential social applications like a dating app based on shared recipe preferences. The blog concludes with a cautionary note about verifying AI-generated recipes for safety, emphasizing the importance of reviewing AI outputs critically.

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