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Yogesh Jamdade

..... • 12m

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 • 6m

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

1 Reply

Anonymous

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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

Saswata Kumar Dash

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🚀 New Video Alert! 🎉 We've just released a tutorial on building a Retrieval-Augmented Generation (RAG) application using Ollama and Microsoft's Phi-3 model. Key Points: Ollama:A platform that enables running large language models locally, enhanc

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It is good

It is good, but not so

Votes: 2

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