Technology ❯ Artificial Intelligence ❯ Machine Learning ❯ Natural Language Processing

Retrieval-Augmented Generation

New RAG Studies Advance Verification, Reasoning and Security

The focus is shifting from raw retrieval to proof of support before an answer.

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RAG Practice Coalesces Into a Seven-Step Playbook Focused on Retrieval

New RAG Papers Tout Structured, Chunk-Free and Hybrid Retrieval Gains

RAG Research Moves Beyond Pure Vectors With New Methods for Structure, Chunking, and Verification

New Guidance Reframes Production RAG: Fix Retrieval, Not the LLM

Generator-Focused RAG Benchmark Released as Hierarchical System Wins WattBot 2025

RAG Shifts From Vector Similarity to Reasoning-Driven Retrieval

New ArXiv RAG Papers Tackle Lean Stacks, Adaptive Retrieval, and Knowledge-Graph QA

RAG Research Delivers New Benchmark and Clear Guidance on Retrieval, Reasoning, and Bias

Two arXiv Preprints Propose Adaptive RAG With Complexity Scoring and Agentic Retrieval

Agentic RAG Gains Traction as Practitioners Map the Path to Production

New RAG Research Debuts Adaptive Retrieval Advances as Security Risks Emerge

Pentagon Launches GenAI.mil, Opening Google’s Gemini to 3 Million Users for Unclassified Tasks

New Research Pushes Next‑Gen RAG: Process‑Level RL, Shared‑Space Retrieval, and an SAE Hallucination Detector

RAG Research Moves to Graph, Lightweight, and Agentic Designs as New Benchmarks Steer Fixes

New RAG Research Reports Adaptive Retrieval Gains, Multimodal Retrieval Edge

Two New RAG Preprints Propose Theme-Aligned Hypergraphs and Hierarchical Agents

WinnowRAG and TeaRAG Debut With Promises to Cut RAG Noise and Token Load

New Papers Flag Retrieval as RAG’s Weak Link, Propose Practical Fixes

RAG Advances Spotlight Structured Retrieval Gains and Safety Risks in Agentic RL Search