What a way to wrap up 2024! Our new NeMo Retriever microservices make it easier to connect generative AI tools to broader sets of data at a much larger scale. Case in point: Wikimedia processed 10 million entries in just 3 days - down from 30. Check out our blog post to learn more! https://lnkd.in/gUp7svAU
Break Language Barriers with New NVIDIA NeMo Retriever Microservices ℹ️ Today NVIDIA released new embedding and reranking NIM microservices to help enterprises more efficiently expand #generativeAI applications into multilingual, high-precision systems with efficient data storage capabilities. 🌉Enables #AI to access richer, more relevant information and effectively bridge linguistic and contextual divides. 📊Partners are adopting these microservices to help organizations connect custom models to diverse data sources. 📈Wikimedia processed 10 million Wikidata entries in under 3 days - down from 30. Read the blog to learn more ➡️ https://nvda.ws/4ghRQ10 #GenerativeAI #RAG