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Vector databases for AI memory just got disrupted… by MP4 files?! Video as Database: Store millions of text chunks in a single MP4 file Store millions of text chunks with blazing-fast semantic search — no database required. 100% open source. Zero

BreaKING News ☝️👑: Perplexity, the AI search engine startup, is blazing trails in investment circles. Recent raises have propelled its valuation to a staggering $2.5 billion to $3 billion range. Anddddd it's not stopping there—rumor has it, th

yooo 😭 just found out perplexity pro is free for students and it’s actually wild been using it since this morning — it’s like if google, chatgpt and that one topper friend merged 💀 helps with papers, gets real answers, even writes decent stuff. an

6 Chunking Methods for RAG you should know. I’ve explained it in a simple, step by step way. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗵𝘂𝗻𝗸𝗶𝗻𝗴? 1. Chunking means splitting large documents into smaller pieces. 2. Helps LLMs search and understand data better. 3. Essent

6 Chunking Methods for RAG you should know. I’ve explained it in a simple, step by step way. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗵𝘂𝗻𝗸𝗶𝗻𝗴? 1. Chunking means splitting large documents into smaller pieces. 2. Helps LLMs search and understand data better. 3. Essent

🧩 Day 8 — Debugging the Invisible System Today wasn’t progress on paper, but clarity in disguise. No new users, no loud wins — just loops, unanswered pings, and the constant question of what’s actually breaking the flow? Somewhere between overthin

🚨 Google just dropped NotebookLM – and honestly, it’s WILD. Imagine a research assistant that actually understands your files and gives you contextual answers like a pro. 📚🤯 But here’s the thing… As incredible as NotebookLM is, it made me think:

List of my favourite 10 Free AI Tools: 1. Gemini 1.5 pro: It's free! You can upload audio, video file or PDFs and ask questions related to them. 2. Claude: Sometimes it gives me better responses than ChatGPT. 3. Microsoft Copilot: I mainly use it t

Every app I build starts with a conversation. Not with a co-founder. Not with a product manager. But with ChatGPT. That’s my starting point — the spark zone. Most of my ideas aren’t wild inventions. They come from tiny pain points I experience in

Well, Lovable is great for building apps. But how does Lovable actually produce full apps? I'll break down the entire process of how lovable works step by step. 1. 𝗨𝘀𝗲𝗿 𝗜𝗻𝗽𝘂𝘁 (𝗣𝗿𝗼𝗺𝗽𝘁 𝗦𝘁𝗮𝗴𝗲) • You type your idea in Lovable (e.g.