Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers

In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...
InfoQ

Google Vertex AI Provides RAG Engine for Large Language Model Grounding

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
InfoWorld

The limitations of model fine-tuning and RAG

The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their ...
Nature

Research on the construction and application of retrieval enhanced generation (RAG) model based on knowledge graph

Generative pre-trained language models have demonstrated strong capabilities in natural language processing tasks, but they still suffer from “fact hallucination” and weak knowledge timeliness in open ...
VentureBeat

DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same

Things are moving quickly in AI — and if you're not keeping up, you're falling behind. Two recent developments are reshaping the landscape for developers and enterprises alike: DeepSeek's R1 model ...
SiliconANGLE

Contextual AI nabs $80M for its ‘RAG 2.0’ platform

Contextual AI Inc., a startup that helps enterprises build retrieval-augmented generation artificial intelligence applications, has closed a $80 million Series A round to support its commercialization ...