🚀 Medial Secures Investment on Shark Tank India - Fueling the Future of Professional Social Networking. 🔥

News

Messages

Try our Valuation Calculator →

Back

Account Deleted

Hey I am on Medial • 3m

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

Recommendations from Medial

Saswata Kumar Dash

Buidling AlLiN|AI Re... • 1m

🚨 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 • 4m

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... • 19d

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

Rohit joshi

Dev dev dev • 5m

🚀 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

..... • 4m

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

Aroneo

| Technologist | ML ... • 5m

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

Chamarti Sreekar

Passionate about Pos... • 11d

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/

1 Reply

Chamarti Sreekar

Passionate about Pos... • 5m

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,

6 Replies

Chetan Bhosale

Software Engineer | ... • 8m

💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e

3 Replies

Amit Soni

A billion dollar dre... • 6m

Turn ANY Website into LLM Knowledge in SECONDS 🤯 Tired of LLMs with limited knowledge? 🧠 This video shows you how to easily scrape any website and turn it into a powerful knowledge base for your own custom AI agents. 🤖 We'll explore: * Crawl for