Technology ❯Artificial Intelligence ❯Natural Language Processing ❯Large Language Models

Retrieval-Augmented Generation

arXiv Study Unveils Adversarial Instructional Prompts That Subvert RAG With 95% Success

The authors warn that widely reused system prompts create a stealthy entry point for altering what RAG systems retrieve.

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New RAG Preprints Propose Retrieval, Reasoning, and Graph Methods to Curb Hallucinations

New Studies Advance Reliability‑Aware, Graph‑Based and Monitored RAG as Real‑World Test Flags Failures

September Research Blitz Reveals LLM Vulnerabilities and Rolls Out Real-World Benchmarks

RAG Matures for Enterprise Use With On‑Prem Pipelines and Smarter Embedding Strategies

Developers Embrace RAG to Ground Language Models in Accurate, Up-to-Date Data