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🚀 Excited to share my latest YouTube video! demonstrate how to integrate Microsoft's Semantic Kernel with Qdrant, the open-source vector database, to build an intelligent question-answering system for Wikipedia pages citeturn0search3 In this tu

Most people don't even know these basics of RAG. I've explained it in a simple way below. 1. 𝗜𝗻𝗱𝗲𝘅𝗶𝗻𝗴 Convert documents into a format that AI can quickly search later. Step-by-step: • 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁: You start with files like PDFs, Word

💡 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

Google's Gemini app has taken the top spot on the Apple App Store, fueled by its viral Nano Banana AI feature. Nano Banana effortlessly transforms photos into hyper-realistic 3D figurines using simple text prompts. This viral feature has attracte

Turn your laptop into a powerful RAG engine. The world’s smallest vector database. I've explained below. If you’re building RAG today, you’re facing a brutal reality: 𝗖𝗹𝗼𝘂𝗱 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 𝗮𝗿𝗲 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 and 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲

Day 8 of learning AI/ML as a beginner. Topic: Bag of Words (BOW) Yesterday I told you guys about One Hot Encoding which is one way to convert text into vector however with serious disadvantages and to cater to those disadvantages there's another on

Steps to building AI systems with LLM's. I've given a simple detailed explanation below. 𝗦𝘁𝗲𝗽 1 – 𝗟𝗟𝗠𝘀 (𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀) • These are the 𝗯𝗿𝗮𝗶𝗻𝘀 of the system. • Examples: GPT (OpenAI), Gemini, Claude etc. • Th

Day 25 of learning python as a beginner. Topic: database handling. I used to write simple programs which just showed some text in the console when I started learning python. I didn't used to store that data somewhere because I didn't know how to.

Everything you need to go from 0 to launch: 🔐 Authentication – Powered by Supabase + Auth.js with Magic Links (signup, login, logout) 🗂 Database – MongoDB & Supabase to store all user actions 💸 Payments – Fully integrated with Stripe, LemonSq

Most people building AI systems miss these crucial steps. I've explained the architecture in simple way below. 𝗦𝘁𝗲𝗽 1 – 𝗗𝗮𝘁𝗮 𝗜𝗻𝗴𝗲𝘀𝘁𝗶𝗼𝗻 & 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 (𝗜𝗻𝗴𝗲𝘀𝘁 𝗟𝗮𝘆𝗲𝗿) • This step brings data into your AI system. •