#rag
Rag: 24 AI articles covering rag news, analysis, and research
Articles
Cohere Releases Rerank 5 With Passage-Level Context Focus and⭐8
Cohere Rerank 5 adds Context Focus passage retrieval and calibrated scores for better RAG results. Pro tops 39 of 46 benchmarks; Fast cuts latency. Here's what ...
A Small Model Asks Better: Fine-Tuning Query Clarification for⭐9
ClariEdge, a new dataset of ~3,900 examples, shows a lightweight fine-tuned LoRA detects ambiguous RAG queries with 96.6% accuracy and generates better clarific...
Cohere Embed 5 vs. Voyage 4 Large, Gemini Embedding 2, and⭐9
Cohere Embed 5 vs Voyage 4 Large, Gemini Embedding 2, and OpenAI: compare the 2026 embedding models for enterprise search, RAG, and agentic retrieval.
Perplexity Releases pplx-embed-v2-context-9b-preview: A⭐10
Perplexity releases pplx-embed-v2-context-9b-preview, a contextual embedding model that retrieves answers along with their supporting evidence.
BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific⭐8
BioPhys-Bridge is a new benchmark of 500 biophysics cases and 1,517 tasks testing evidence-grounded, interdisciplinary scientific reasoning in language models.
Should You Read the Code? Is RAG Dead? Did Skills Kill MCP?⭐9
As AI coding tools evolve, we tackle three key questions: should you read generated code, is RAG dead, and did Agent Skills kill MCP? Get a practical 2026 persp...
Tables in PDFs for RAG: Don’t Flatten the Grid⭐9
Stop losing critical data in PDFs: Learn how structured table extraction—not flattening—boosts RAG retrieval accuracy.
A RAG That Says 'Not in This Document' Has to Show Four Kinds of⭐9
A four-part RAG system must prove a "not found" answer with evidence from retrieval, generation, grounding, and verification to avoid misleading users.
FAQ as RAG: When You Get to Design the Corpus⭐10
FAQ as RAG rethinks retrieval when the corpus is Q&A pairs: parsing becomes trivial, retrieval works as a cache, and few-shot prompting turns into a lookup prob...
Noisy Text in RAG: Typos, OCR, and the Gap Classical Spell-Check⭐10
How typos, OCR errors, and transcription noise break RAG retrieval—and why classical spell-check falls short, leaving embeddings to bridge the gap.