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Practical guides on AI, DSA, full stack, cloud, and career growth.
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Day 15 of Becoming an AI Developer: What Is Agentic AI? Explained for Beginners
From chatbots that answer questions to AI systems that take actions — here’s what Agentic AI actually means for developers.
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Day 14 of Becoming an AI Developer: RAG Explained for Developers with Practical Implementation
Learn how Retrieval-Augmented Generation (RAG) works, why modern AI applications rely on it, and build a simple RAG pipeline from scratch.
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Day 13 of Becoming an AI Developer: Vector Databases Explained (Pinecone, Chroma & Weaviate)
Why Traditional Databases Fail for AI Search — and How Vector Databases Make RAG Possible
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Day 12 of Becoming an AI Developer: Embeddings Explained for Developers
Learn how AI understands meaning, powers semantic search, and finds similar content using vector embeddings and cosine similarity.
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Day 11 of Becoming an AI Developer: Why AI Forget Things (And What Context Windows Actually Mean)
Why ChatGPT Forgets, How Context Windows Work, and What Developers Must Know to Build Better AI Apps
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Day 10 of Becoming an AI Developer: I Built a Chat With PDF App Using Next.js + Ollama + RAG
A practical deep dive into building a local AI-powered PDF chatbot using Next.js, LangChain, Ollama, embeddings, vector search, and…
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Day 9 of Becoming an AI Developer: Architecture of Chat PDF App with AI
Before building a Chat PDF app in Next.js, understand how PDFs, embeddings, retrieval, vector stores, and RAG actually work under the hood.
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Day 8 of Becoming an AI Developer: Build a Resume Analyser Using AI
Learn how to build a smart AI-powered resume reviewer using React, Node.js, Ollama, and llama3 — without spending money on APIs.
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Day-7 of Becoming an AI Developer: Want to Learn AI? Start With These 20 Terms First
From RAG and Vector Databases to Tokens and Hallucinations — a beginner-friendly guide every developer needs to stop feeling lost in AI…
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Day-6 of Becoming an AI Developer: Build an AI Chatbot with React (Vite) + Node.js
Create a local AI chatbot using React, Express, Ollama, and llama3 — with zero API cost and real-world architecture.
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