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DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev

Software Engineering Daily by Software Engineering Daily

Mar 12, 202637:57Technology

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 datab...

About This Episode

DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev is an episode from Software Engineering Daily by Software Engineering Daily. Retrieval-augmented generation, or RAG, has become a foundational approach to building production AI...

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Episode Details

Published Mar 12, 2026, 37:57 long, audio available.

Questions About This Episode

What is DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev about?

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 .

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Which podcast is DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev from?

DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev is an episode from Software Engineering Daily by Software Engineering Daily.

How long is this episode?

This episode is 37:57 long.

When was this episode published?

This episode was published on Mar 12, 2026.

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Are there related episodes from Software Engineering Daily?

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Where can I listen to DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev?

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Which podcast is this episode from?

DeepMind’s RAG System with Animesh Chatterji and Ivan Solovyev is from Software Engineering Daily by Software Engineering Daily.

What are the episode details?

Published Mar 12, 2026 and 37:57 long