🏆NVIDIA NeMo Retriever achieves 1st place on @HuggingFace across three top visual document retrieval leaderboards -- ViDoRe V1, ViDoRe V2, and MTEB VisualDocumentRetrieval. Setting new standards for enterprise #RAG applications, NeMo Retriever leads the industry. This top-performing model is: 🔎 Fine-tuned for query-document retrieval where queries are text and images. 📊 Particularly useful in multimodal RAG systems that use text, charts, tables or infographics. Potential applications include multimedia search, cross-modal retrieval, and conversational AI with rich input understanding. 🛠️ Developers can achieve up to 15X faster PDF data extraction, 50% better accuracy, and 35X better storage efficiency with NeMo Retriever. For researchers, check it out on #HuggingFace ➡️ For developers needing production-ready, commercial models, visit ➡️