2025-03-31
Less Is More: Why Retrieving Fewer Documents Can Improve AI Answers
Retrieval-Augmented Generation (RAG) is an approach to building AI systems that combines a language model with an external knowledge source. In simple terms, the AI first searches for relevant documents (like articles or webpages) related to a user’s query, and then uses those documents to generate a more accurate answer. This method has been celebrated […]
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2025-11-04
Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once
Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document re [...]
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 [...]
2025-02-28
Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+
The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]
2025-10-31
How an Oregon court became the stage for a $115,000 showdown between Meta and Facebook creators
Some of the most successful creators on Facebook aren't names you'd ever recognize. In fact, many of their pages don't have a face or recognizable persona attached. Instead, they run pa [...]
2024-11-08
Ginger VS Grammarly: Which Grammar Checker is Better in (2022) ?
Ginger VS Grammarly: When it comes to grammar checkers, Ginger and Grammarly are two of the most popular choices on the market. This article aims to highlight the specifics of each one so that you can [...]