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Yogesh Jamdade

..... • 5m

How RAG Gen AI Helps Businesses Retrieval-Augmented Generation (RAG) enhances AI by combining real-time data retrieval with generative models, making it highly effective for businesses. Key Benefits: Better Decision-Making – Provides real-time insights. Improved Customer Support – Delivers precise, fast responses. Efficient Knowledge Management – Organizes and retrieves data quickly. Personalized Marketing & Sales – Enhances targeting and conversions. Regulatory Compliance – Ensures up-to-date legal adherence. Optimized Content Creation – Generates accurate, high-quality content. RAG AI boosts efficiency, accuracy, and customer engagement, making it a game-changer for businesses.

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Anonymous

Hey I am on Medial • 3d

Guys which AI model would be best to make a RAG (retrieval augmented generation) tech product ?

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🚨 Everyone says "RAG is dead" — but I say: It’s just been badly implemented. I’ve worked on AI systems where Retrieval-Augmented Generation (RAG) either changed the game… or completely flopped. Here’s the hard truth 👇 --- 🤯 Most teams mess up

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Retrieval-Augmented Generation (RAG) is a GenAI framework that enhances large language models (LLMs) by incorporating information from external knowledge bases, improving accuracy, relevance, and reliability of generated responses. Here's a more det

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Ujwal Anand

App developer • 4m

A digital memory system that stores, organizes, and retrieves everything you’ve ever read, written, or recorded across your devices. It uses AI to recall things contextually—“What did I say to John about the budget in March?” or “Summarize all my not

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