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Retrieval Augmented Generation

Mar 17 link.springer.com 3 min read

DRAGON-AI: Using Large Language Models and RAG for Automated Ontology Generation

DRAGON-AI is a novel method that employs Large Language Models and Retrieval Augmented Generation to automatically generate ontology components including relationships, definitions, and logical axioms. The system …

AI · Data Editorial Team
Feb 27 arxiv.org 3 min read

RICHES: A Novel Approach to Retrieval-Augmented Generation Through Unified Sequence Generation

RICHES presents a novel approach that unifies retrieval and generation by interleaving document retrieval with sequence generation tasks, eliminating the need for separate retriever and generator components in RAG …

AI · Development Editorial Team
Sep 15 developers.googleblog.com 3 min read

Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings

Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings Google introduces EmbeddingGemma, a 308 million parameter open embedding model that delivers state-of-the-art performance for on-device AI …

Artificial Intelligence › Machine Learning · Development › Mobile Development Editorial Team
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