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Hey I am on Medial • 6m

Hello Friends, I’ve been diving deep into Retrieval-Augmented Generation (RAG) and its evolved form — Agentic RAG — lately, and I’m genuinely curious about how others are thinking about it. I’d love to hear your ideas, interesting use cases, or even the challenges you foresee with applying RAG and Agentic RAG in enterprise or industry-specific contexts. Where do you see it being most useful? Are there areas where a more autonomous, tool-using Agentic RAG approach could better address existing pain points than traditional RAG? Drop your thoughts, pet projects, or even bold ideas here — it would be great to learn from this community

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Anonymous

Hey I am on Medial • 2m

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

Saswata Kumar Dash

Buidling FedUp| AI R... • 4m

🚨 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

Anonymous

Hey I am on Medial • 7m

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

HEMANT GHUGE

Problem Zeroth, Tech... • 4m

Most people think of RAG (Retrieval-Augmented Generation) as a text-only thing. But when we apply it to images, it unlocks serious potential — especially in safety, retail, and surveillance. I recently explored Vision-RAG using Weaviate + LangChain

Aroneo

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In the ever-evolving AI landscape, a new player is making waves — Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from

Rohit joshi

Dev dev dev • 8m

🚀 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

Yogesh Jamdade

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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 ins

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Hey I am on Medial • 8m

Why India’s Biggest Companies Are Betting on Agentic AI Agentic AI refers to autonomous GenAI agents capable of performing complex tasks with minimal human supervision. Indian companies, from startups to enterprises like Zomato, Infosys, and Zoho,

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Hey I am on Medial • 3m

Top Free AI Courses You Can Start Today #2 Agentic AI A B C of Coding to Build AI Agents https://www.analyticsvidhya.com/courses/a-b-c-of-coding-to-build-ai-agents/ Build a Resume Review Agentic System with CrewAI https://www.analyticsvidhya.com/

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AIGuts

Exploring AI's poten... • 6m

What Are Agentic AI Frameworks and How Do They Power Autonomous Systems? Agentic AI frameworks are at the forefront of next-gen AI, enabling systems to act autonomously with decision-making capabilities similar to humans. These frameworks are design