#retrieval

'IBM published two ModernBERT-based Granite R2 embeddings offering 8k context, compact architectures, and high retrieval throughput suitable for production RAG and search systems.'

DeepMind demonstrates a mathematical limit on fixed-size dense embeddings that causes retrieval failures in RAG systems at scale, and the LIMIT benchmark exposes this ceiling even on small toy tasks.