DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev
<p>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</p> <p>The post <a href="https://softwareengineeringdaily.com/2026/03/12/deepminds-rag-system-with-animesh-chatterji-and-ivan-solovyev/">DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev</a> appeared first on <a href="https://softwareengineeringdaily.com">Software Engineering Daily</a>.</p>
ʻAʻole i kākau ʻia kēia ʻanuʻu
Hoʻohana i STT.ai e hoʻololi i kēia ʻāpana me AI. E loaʻa i ka huaʻōlelo pololei me ka ʻike ʻana i ka mea kākau, nā manawa, a me ka hoʻouna ʻana i nā ʻano like ʻole.