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AI Explorer
Mar 11, 2026 · Artificial Intelligence

Gemini Embedding 2: Google’s First Native Multimodal Embedding Model

Google’s Gemini Embedding 2 introduces a native multimodal embedding model that maps text, images, video, audio, and documents into a single vector space, offers three configurable dimensions, achieves state‑of‑the‑art benchmarks across modalities, and enables cross‑modal search, RAG, and seamless integration with major vector databases.

AI ModelsGemini EmbeddingMatryoshka representation
0 likes · 8 min read
Gemini Embedding 2: Google’s First Native Multimodal Embedding Model
AI Frontier Lectures
AI Frontier Lectures
May 21, 2025 · Artificial Intelligence

New BGE Vector Models Set SOTA in Code and Multimodal Retrieval – What Makes Them So Powerful?

Three newly released BGE vector models—BGE‑Code‑v1, BGE‑VL‑v1.5, and BGE‑VL‑Screenshot—deliver state‑of‑the‑art performance on code, multimodal, and visual document retrieval benchmarks, are open‑source on Hugging Face and GitHub, and aim to boost retrieval‑augmented applications across languages and modalities.

AI ModelsBGEcode search
0 likes · 8 min read
New BGE Vector Models Set SOTA in Code and Multimodal Retrieval – What Makes Them So Powerful?