Rag
All posts tagged with #Rag
10 Files Beat 413: What Anthropic's Dreaming Agents Teach Us About Memory
Anthropic's Pokémon memory benchmark shows a model with 10 well-curated memory files beating one with 413. What 'dreaming' agents reveal about curation as the real memory capability.
One Encoder, Two Jobs: UltraBERT and the End of Scaling Your Embedder
UltraBERT tops 9 of 10 encoder benchmarks at 150M and 380M parameters with a 32K context, and the research behind it proves more pretraining compute stopped helping encoders long ago. Here is what that changes for your RAG pipeline.
How LightOnOCR-3 Turns Messy PDFs Into Structured Data in One Pass
LightOnOCR-3 folds OCR, layout detection, and chart extraction into a single Apache 2.0 model. Here is how to use its grounding mode for RAG-ready document ingestion.
Eight Megabytes. All of Wikipedia. Seven Minutes on a Laptop.
Lattice is a static embedding model that scores 0.4749 on BEIR, compresses to 7.94 MB, and embeds all 6.4 million Wikipedia articles in 7 minutes on a laptop. Here is what that changes for retrieval pipelines.