Simplest RAG Explanation with Working Code! Beginner Friendly Step-by-Step Example

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𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐚𝐧𝐝 𝐞𝐧𝐫𝐨𝐥𝐥 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐋𝐈𝐕𝐄 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐡𝐞𝐫𝐞-

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Timestamps-
0:00 - Coming Up
0:25 - Problem Statement
0:55 - Cons of Fine Tuning
1:38 - Concept of RAG
3:25 - Educosys GenAI Course
4:44 - Example Overview
5:58 - Installation and Setup
7:38 - Web Scraping Educosys
9:44 - Splitting Docs
15:24 - Add Docs to VectorDB
18:24 - RAG Pipeline Retrieval
18:55 - Augmentation
21:25 - RAG Chain Code
26:02 - Revision
27:48 - Test RAG Chain
29:50 - Print Prompt in RAG Chain
33:29 - Thank You!

#softwaredevelopment #softwareengineer #machinelearningengineer #artificialintelligenceandmachinelearning

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One of the simple & best explanation of RAG. Seems like I am late to this channel :)

Aman

Thank you Keerthi for simplifying RAGs for all of us! 🙏🏻Really love the new aesthetics❤

vshubhi

Keerti, as a PM, your courses are making it super easy for me to understand what goes behind building AI Agents! Really enjoying learning.. Thank you!

sevyaclassical

This is most useful. You explain it so well. Thanks.

ChromeKiddo

Thanks for uploading the video on YouTube. I just got my first hands-on experience with a RAG project.

saisaranyan

Mam.. You are amazing. The explanation is clear and accessible .

pranitamongsemandaokar

Wow.. thank you for such an amazing content. Very precise and beginner friendly :)

userAM-kk

I loved it. Everything explained in simple terms. ♥

jhanvidattani

Very nice explanation which is easy to understand. Code explanation was very useful.

HamsiniRamesh-igih

The way you explaining concept are awesome.🎉🎉

mohanasundaram

Amazing, thank you so much ❤, you made it really really easy to understand

vaishuuuuuu

Hello Mam, You are going very fast. Please let us understand it correctly. Hopefully, you won't mind it.

ashishsinghchauhan

In 2 mins 40 seconds you explained me rag.

akashtribhuvan

Hi Keerti, loved your video!
I’m interested in your course content, being a Data Engineer I’m only interested to learn how I use LLM to build my own RAG applications.
Can you split your course into 2 different courses?

ananyaverma

Hey keerti di, recently I'm seeing a lot of tweets regarding MCP but can't get the hang of it. Could you please make an explanatory video of the same? Thank you in advance ❤

GeniuslyTensai

Short, simple, precise. I'll definitely try it. Just a doubt, are there any free alternatives because chatgpt can become costly 😅

mayurdange

Great explanation 👏, I have one question that as our company grows we will keep having new and updated data or maybe we would even want to remove some old data as it's no longer relevant, so how should we tackle these? For new data should we embed just the new content and store in vector db? And how can we remove old irrelevant info.

SahidMidda-ts

Hi Keerti, this video is very engaging. Is any brief counselling available to assess my current knowledge/state and if the curriculum would differ based on that? Just a question before I enrol in the course. Thank you

uday

How is RAG different from BERT which was shown to be good at passage question answering tasks?

arupdas

Mam in this course opportunities for networking and certification are available or not?

MrApple-hzsp

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