Weaviate introduces Ref2Vec for Recommendation Systems

AI Impact Summary

Weaviate introduces Ref2Vec, a new module that leverages cross-references to vectorize data objects, particularly useful for recommendation systems. Ref2Vec represents an object by averaging the vectors of its cross-referenced objects, allowing for dynamic characterization based on relationships and actions. This approach enables Weaviate to capture user interests and tendencies across multiple axes, leading to more relevant recommendations, especially in scenarios like e-commerce where user preferences evolve based on interactions.