#RAG
15 stories taggedRAG.
Google's new EmbeddingGemma 2 crams search for text, images, audio and video onto a phone
The 740-million-parameter open model from Google DeepMind runs offline, under 600MB of RAM on a Pixel 11 Pro.
When AI Gets the Fact Right but Credits the Wrong Source, a New Tool Catches It
ProvenanceGuard targets a blind spot in AI fact-checking: a claim can be true and still be falsely attributed. In medical tests, it caught 138 of 139 claims that should have been blocked.
The Real AI Bottleneck Is Not the Chip. It Is Where the Data Lives.
AI systems are straining under real-time demands, and the weak point is not processing power. It is memory, storage, and the pipes connecting them.
A fake US think tank flooded AI chatbots with half a million words of pro-Israel talking points
A website posing as a research institute published 124 reports in nine days, using a platform built to make AI chatbots treat its content as credible source material.
Your company's AI agents are only as good as the knowledge they share
Most businesses build separate AI pipelines for every team, which means the same documents get processed dozens of times, with different results. A new architectural idea proposes fixing that at the root.
Mistral's New Search Tool Lets AI Dig Deep Into Your Company's Documents, Not Just Skim the Surface
Agentic Search replaces single-pass document lookup with a multi-step reading loop, tripling accuracy on financial filings in benchmark tests.
AI agents at companies with safety guardrails fail more often, and that is actually the point
A July 2026 survey of 101 enterprises found that companies running a governed context layer report their AI agents giving confidently wrong answers at more than twice the rate of companies that have no such layer. The reason is not that the guardrails make things worse. It is that they make failures visible for the first time.
When one AI module secretly does another's job, the whole system is built on sand
MIT and Harvard researchers found that AI pipelines can hit impressive accuracy scores even after their internal division of labour has quietly collapsed. A new technique called Role Anchor aims to stop that from happening.
The AI scribe helping 2.7 million patient visits a week, and why its database matters as much as its model
Australian healthtech company Heidi built a clinical AI assistant that now spans 190 countries. Its CTO says the hard part was never the AI itself.
The AI shortcut that costs companies six times more than it should
A lead AI engineer spent a year building decision systems for regulated industries and found one fix that cut costs by 6x: stop sending every question to the language model in the first place.
GraphRAG vs. plain RAG: the honest scorecard
A knowledge graph can make AI answers far better, but only for certain questions, and the indexing bill can shock you. Here is what five studies actually found.
Your AI chatbot isn't broken. Your data pipeline is.
Enterprise AI projects keep failing, and companies keep blaming the AI model. Senior data engineer Naveen Ayalla says the real problem sits one layer deeper, in the messy pipes feeding data to the model in the first place.
NVIDIA's New AI Search Models Top Global Rankings and Cut Agent Costs
NVIDIA released three new embedding models that set a new accuracy record for AI information retrieval. The best one also helps AI agents finish tasks faster and cheaper.
CLaRa Teaches AI to Read Smarter, Not Longer
A new framework from Apple ML Research squeezes documents into compact summaries before feeding them to an AI, cutting the junk and keeping the answers.
57% of Enterprises Have Been Burned by a Confident AI Answer That Was Wrong. Here Is Why It Keeps Happening.
A new survey puts numbers on a problem IT teams already know: AI agents deliver wrong answers with total certainty, and the root cause isn't the model. It's the missing layer that tells the model what your business data actually means.