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New DeepMind research reveals a fundamental limit in vector embeddings for RAG applications

Ben Dickson
2025-09-18 1 min read

<p>A new Google DeepMind study reveals a fundamental bottleneck in single-vector embeddings, explaining why even the most advanced RAG systems can fail unexpectedly.</p> <p>The post <a href="https://b...

A new Google DeepMind study reveals a fundamental bottleneck in single-vector embeddings, explaining why even the most advanced RAG systems can fail unexpectedly.

The post New DeepMind research reveals a fundamental limit in vector embeddings for RAG applications first appeared on TechTalks.

Source: TechTalks Word count: 394 words
Published on 2025-09-18 04:41