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Understanding RAG: Retrieval Augmented Generation Essentials for AI Projects ✅

𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 on April 14, 2025

What is RAG? Retrieval-augmented generation (RAG) is a framework that enhances a large language model with an external data fetching or ...
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fast-d3v

There has been some real questions around Llama 4 and it's benchmark results. But the 10 Mn context window is very big. That's an achievement.

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Dakota

The benchmarks vs. Real world usage is something else.

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This is from reddit.

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

If you'd like to read about that, then here's a resource for you: arxiv.org/abs/2310.01889

The concept is Ring-Attention :)

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Data with Johnson

This is useful

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

💖✨

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DevArt

Hey! 👋 I’ve been exploring different ways to turn ideas into functional UI faster, and recently came across (and started using) SketchFlow — a tool that helps convert rough sketches or wireframes into clean HTML/Tailwind code. It's super handy when you want to focus on flow and layout before diving deep into styling or logic.

Still early days, but it’s been a neat productivity boost for me. Would love to know if anyone else has tried something similar — always curious about tools that speed up the dev-design loop! 💡

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck • Edited

Great work if that's your tool. How it's useful to RAG?

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Otto Aleksi

Really helpful dude!

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

Thank you

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Sourav Shah

Awesome Read

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Mr Abdullah WebDev

Thank you bro

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

You're welcome bro 😎

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Louis Liu

Thank you for sharing this. Really helpful.

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

I'm glad you liked it!

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Syed Muhammad Ali Raza

useful

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

thanks :)

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Khalid EL (Blue Hat)

Thanks!

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

💖✨

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

I've tried my best to break down the concepts of Retrieval Augmented Generation and some questions people keep asking around "Is RAG dead?"
I hope people will like it!

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fast-d3v

😂 Rag is dead, long live rag. I've seen many posts like that.
Great work though

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𝚂𝚊𝚞𝚛𝚊𝚋𝚑 𝚁𝚊𝚒 Apideck

Thanks!