IBM has announced the release of Granite 4.0 3B Vision, a vision-language model (VLM) engineered specifically for enterprise-grade document data […]
Category: Embedding Model
Microsoft AI Releases Harrier-OSS-v1: A New Family of Multilingual Embedding Models Hitting SOTA on Multilingual MTEB v2
Microsoft has announced the release of Harrier-OSS-v1, a family of three multilingual text embedding models designed to provide high-quality semantic […]
Google AI Introduces Gemini Embedding 2: A Multimodal Embedding Model that Lets Your Bring Text, Images, Video, Audio, and Docs into the Embedding Space
Google expanded its Gemini model family with the release of Gemini Embedding 2. This second-generation model succeeds the text-only gemini-embedding-001 […]
Liquid AI’s New LFM2-24B-A2B Hybrid Architecture Blends Attention with Convolutions to Solve the Scaling Bottlenecks of Modern LLMs
The generative AI race has long been a game of ‘bigger is better.’ But as the industry hits the limits […]
IBM AI Research Releases Two English Granite Embedding Models, Both Based on the ModernBERT Architecture
IBM has quietly built a strong presence in the open-source AI ecosystem, and its latest release shows why it shouldn’t […]
Building a Context-Aware Multi-Agent AI System Using Nomic Embeddings and Gemini LLM
In this tutorial, we walk through the complete implementation of an advanced AI agent system powered by Nomic Embeddings and […]
Nomic Open Sources State-of-the-Art Multimodal Embedding Model
Nomic has announced the release of “Nomic Embed Multimodal,” a groundbreaking embedding model that achieves state-of-the-art performance on visual document […]