Finder: A Multimodal AI-Powered Search Framework for Pharmaceutical Data Retrieval

ArXi:2603.15623v1 Announce Type: cross AI is transforming pharmaceutical search, where traditional systems struggle with multimodal content and manual curation. Finder is a scalable AI-powered framework that unifies retrieval across text, images, audio, and video using hybrid vector search, combining sparse lexical and dense semantic models. Its modular pipeline ingests diverse formats, enriches metadata, and s content in a vector-native backend. Finder s reasoning-aware natural language search, improving precision and contextual relevance.