The latest AI news, launches, models, companies and research — collected from official sources, research feeds and reporting, grouped into stories and ranked by the BharatHunt Trend Score.
Updated 1 hour ago121 stories in the last 24 hours
502 stories
NativeScope: Relation-Localized Retrieval over Native Topology with a Correct Anchor. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Rethinking access control for RAG with Amazon Quick and Amazon Bedrock. It centres on RAG, and also names Amazon and Google. Reported by AWS. Bharat Hunt files it under Enterprise AI — the section covering deployment inside businesses — platforms, adoption, cost, integration.
Evaluating the accuracy of KV cache reuse techniques. It centres on RAG, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Tools — the section covering applications people use — assistants, editors, search, productivity.
Return or Revise? Learning When Revision Helps Retrieval-Augmented QA. It centres on Benchmarks, and also names Llama and RAG. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
Evidence-Grounded Retrieval for Investigation Hunt Lead Generation from CTI Reports. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Funding — the section covering open-weight models, permissive licences and community releases.
Retrieving from Your Own Mistakes: On-Policy Training of Embedding Models for Multi-Hop Retrieval-Augmented Generation. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Models — the section covering law, policy, courts, standards and government positions on AI.
BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG. It centres on Gemini, and also names RAG. Reported by Google Research. Bharat Hunt files it under AI Agents and Enterprise AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Razorpay partners with OpenAI to help brands run ads on ChatGPT in India. It centres on Razorpay, and also names OpenAI and GPT. Entrackr and Inc42 have both covered it. Bharat Hunt files it under AI in India and AI Agents, and tracks it as India coverage.
IndoNutriQA: An Indonesian Clinical Nutrition Question Answering Benchmark. It centres on Benchmarks, and also names RAG. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Analyzing performance of Retrieval Augmented Generation models for Question Answering Tasks. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases. It centres on Amazon, and also names RAG. Reported by AWS. Bharat Hunt files it under AI Tools — the section covering applications people use — assistants, editors, search, productivity.
Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories
Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
Our own 0-100 ranking, not an industry metric and not anyone else’s “trending” number. It combines how recently a story was covered (32%), how many independent publications covered it (28%), how fast that coverage is arriving right now (20%), how reliable those sources are (12%) and how many people opened the story (8%).
A story we cannot date carries no score at all rather than a made-up one, so some cards show no badge. Summaries are written by Bharat Hunt from the headline and the coverage — the original article is always the source of truth, and every link goes to the publisher.