DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev

Software Engineering Daily · Mar 12, 2026 · 37m

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 with rapidly advancing language models.

Google DeepMind recently released the File Search Tool, a fully managed RAG system built directly into the Gemini API. File Search abstracts away the retrieval…