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RAG-Powered Copilot Saves Uber 13,000 Engineering Hours
Uber recently detailed how it built Genie, an AI-powered on-call copilot designed to improve the efficiency of on-call support engineers. Genie leverages Retrieval-Augmented Generation (RAG) to provide accurate real-time responses and significantly enhance the speed and effectiveness of incident response. Since its launch, Genie has answered over 70,000 questions, saving 13,000 engineering hours.
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RAG-Based Ingestion for Generative AI Applications with Logic Apps Standard in Public Preview
Microsoft's new built-in actions for document parsing and chunking in Logic Apps Standard revolutionizes Generative AI ingestion. Streamline workflows with low-code solutions that transform structured and unstructured data into AI-ready formats. Unlock automation across industries, enhancing searchability and knowledge management effortlessly.
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Anthropic Unveils Contextual Retrieval for Enhanced AI Data Handling
Anthropic has announced Contextual Retrieval, a significant advancement in AI systems' interaction with extensive knowledge bases. This technique addresses the challenge of context loss in Retrieval-Augmented Generation (RAG) systems by enriching text chunks with contextual information before embedding or indexing.