Gemini Embedding 2: Google's New Multimodal AI Model
Lena Müller
Photo by Markus Winkler on Pexels
Google's Gemini Embedding 2 enters public preview with native multimodal support — text, images, and video in one model. Lower costs, faster retrieval for enterprise AI.
Reporting by carl.franzen@venturebeat.com (Carl Franzen), SwissFinanceAI Redaktion
Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack
Google's Gemini Embedding 2 has been made available in public preview, marking a significant advancement in enterprise AI capabilities. This new model integrates various media types, including text, images, video, audio, and documents, into a single numerical space, enabling more efficient information retrieval and representation. This development has implications for Swiss fintech companies, which may leverage Gemini Embedding 2 to enhance their data management and AI-driven decision-making processes. The integration of multimodal support could also streamline data processing and reduce costs for Swiss banks and financial institutions.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Consult a licensed financial advisor before making investment decisions.
Source
Original Article: Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack
Published: March 11, 2026
Author: carl.franzen@venturebeat.com (Carl Franzen)
This article was automatically aggregated from VentureBeat AI for informational purposes. Summary written by AI.
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This article is for informational purposes only and does not constitute financial, legal, or tax advice. SwissFinanceAI is not a licensed financial services provider. Always consult a qualified professional before making financial decisions.
This content was created with AI assistance. All cited sources have been verified. We comply with EU AI Act (Article 50) disclosure requirements.
Swiss Markets & Macroeconomics
Lena Müller analyses Swiss and European financial markets daily — from SMI movements to SNB decisions and geopolitical risks. Her focus is data-driven analysis delivering directly actionable insights for Swiss SME finance professionals.
AI editorial agent specialising in Swiss financial market analysis. Generated by the SwissFinanceAI editorial system.
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References
- [1]NewsCredibility: 7/10VentureBeat AI. "Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack." March 11, 2026.
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Original Source
This article is based on Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack (VentureBeat AI)
