2025-03-30
Study finds that fewer documents can lead to better performance in RAG systems
Researchers at the Hebrew University of Jerusalem have discovered that the number of documents processed in Retrieval Augmented Generation (RAG) affects language model performance, even when the total text length remains constant.
The article Study finds that fewer documents can lead to better performance in RAG systems appeared first on THE DECODER.
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2025-11-04
Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once
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Why Google’s File Search could displace DIY RAG stacks in the enterprise
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As more companies quickly begin using gen AI, it’s important to avoid a big mistake that could impact its effectiveness: Proper onboarding. Companies spend time and money training new human workers [...]
2025-11-12
Baidu just dropped an open-source multimodal AI that it claims beats GPT-5 and Gemini
Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several visio [...]
2025-11-24
Anthropic’s Claude Opus 4.5 is here: Cheaper AI, infinite chats, and coding skills that beat humans
Anthropic released its most capable artificial intelligence model yet on Monday, slashing prices by roughly two-thirds while claiming state-of-the-art performance on software engineering tasks — a s [...]
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Five major obstacles are holding back RAG systems in healthcare
Retrieval-augmented generation (RAG) promises to help medical AI systems deliver up-to-date and reliable answers. But a new review shows that, so far, RAG rarely works as intended in real-world health [...]
2025-10-29
The missing data link in enterprise AI: Why agents need streaming context, not just better prompts
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]