Finder: A Multimodal AI-Powered Search Framework for Pharmaceutical Data Retrieval
arXiv 2603.15623•ee886fa46c0265a0826a119f15721cd8ed43ffd02ff51f040a287c68d53b01aa
AILLMRAGbiasbiomedical-knowledge-graphexplainabilityinformation-exposurelatent-memorylocal-firstmemory-systemsmultimodal-searchrecommender-systemsreproducibilityretrievalroutingtemporal-factsvector-search
Paper metadata
- arXiv ID
- 2603.15623
- Version
- Not specified by this published record
- Category
- Computer Science — Information Retrieval (cs.IR)
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Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- ee886fa46c0265a0826a119f15721cd8ed43ffd02ff51f040a287c68d53b01aa
- Enrichment time
- 2026-03-18T08:52:17Z
- AI-assisted enrichment
- Yes
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