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Amit Soni

A billion dollar dre... • 5m

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 AI: An open-source web crawling framework that makes scraping websites a breeze. 💨 * Retrieval Augmented Generation (RAG): How to use external knowledge to boost your LLM's capabilities. 💡 * Building a Pantic AI expert: A real-world example of creating an AI agent with deep knowledge of a specific framework. 🛠️ This is a game-changer for anyone looking to build more powerful and informative AI applications. 🚀 worth to watch #LLM #AI #RAG #WebScraping #CrawlForAI #PanticAI #KnowledgeBase #Follow

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Mitsu

extraordinary is jus... • 2m

Every day you skip reading this book = a missed opportunity. AI Engineering by @chipro is gold: • Build with LLMs • RAG & agents • Dataset engineering • Evaluation metrics that matter This isn’t just theory. It’s how to build. #AI #LLM #RAG #Tec

Rajat jain

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Learn how to build a RAG application (!) using @eyelevelai with its super solid ETL pipeline for performing RAG on complex docs (!!) using @GroqInc for fast AI inference (!!!) and expose your local @FastAPI server over the internet via @ngrokHQ h

Anonymous

Hey I am on Medial • 3m

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

Kunal sapkal

A Machine Learning E... • 1y

I am thinking about an AI model with multiple languages support especially devnagari script languages , we are planning to build an RAG to parse a document and provide the data to the LLM , is this idea feasible and useful suggestions are welcomed

4 Replies

AI Engineer

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If I were learning RAG from scratch in 2025... here's exactly how I'd do it. But here I bring you the ultimate resource list for absolutely no cost. RAG is one of the most practical, production-ready LLM patterns today. Here's All you need to get s

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

Aroneo

| Technologist | ML ... • 4m

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

Saswata Kumar Dash

Former Research Gen ... • 22d

🚨 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

Srikanth Peddibhotla

Founder HappiLabs81 ... • 3m

With AI and LLM do you think we can build a better AI based smartphone ?

yes

maybe

Votes: 76

2 Replies

Greg

👤 • 1m

Here's a short breakdown of Perplexity's "AI Super Agent" technicalities: 1. Advanced LLM Core: Uses a blend of powerful LLMs (e.g., GPT-4o, Claude 3.5, Sonar) for reasoning. 2. Autonomous Workflows: Breaks down complex tasks into self-executing, m