Multimodal embedding system for business recommendations

Abstract

The present disclosure provides a system for generating and matching multimodal embeddings for business recommendations. The system includes a processor and a memory storing instructions that, when executed by the processor, cause the system to generate multimodal embeddings for vendor-payor network entities. The multimodal embeddings comprise document embeddings, payor-vendor network interaction embeddings, payor segment embeddings, and vendor segment embeddings. The system stores the multimodal embeddings in a vector database, retrieves embeddings from the vector database in response to a query for an entity, matches and reranks retrieved results against the query, and implements sanity checks to minimize false positives in recommendations.

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