DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev

Retrieval-augmented generation, or RAG, has become a foundational approach to building production AI systems. However, deploying RAG in practice can be complex and costly. Developers typically have to manage vector databases, chunking strategies, embedding models, and indexing infrastructure. Designing effective RAG systems is also a moving target, as techniques and best practices evolve in step The post DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev appeared first on Software Engineering Daily.