Vector search is changing how we find information. Unlike old search methods that look for exact words, vector search finds content based on meaning. This makes search results more helpful and human-like. When you search for "quick healthy breakfast ...
Introduction In the era of information overload, accessing relevant content swiftly from vast document repositories has become essential. This is where vector-based search systems shine — they enable semantic understanding and retrieval, making docum...
Everyone's building RAG (Retrieval-Augmented Generation) demos. But turning a prototype into production is a different beast altogether. 💡 I learned this the hard way while scaling an enterprise-grade RAG system. Here's what it really takes: It's no...
Hey there, curious minds! 👋If you're anything like me, you're constantly tinkering, breaking things (on purpose... mostly 😅), and learning how all this amazing AI magic works behind the scenes. My latest deep dive? Embeddings and wow, what a rabbit...
RAG = Retrieval-Augmented Generation. It’s a technique where a model retrieves information from external sources (like databases, documents, APIs) before generating a response making answers more accurate, up-to-date, and reliable. This cheat sheet s...
Artificial Intelligence is no longer science fiction. It’s already embedded in the way we search, communicate, write, code, and make decisions. But if you are standing on the outside looking in, it’s easy to feel like you’ve missed the train. But wha...
1. Introduction: Why Should You Care? Ever wondered how AI assistants like ChatGPT give context-aware answers, as if they “remember” what you asked? The magic behind it? Vector Databases. I’m currently building an AI assistant for users on [TUF+], ou...
Retrieval-Augmented Generation (RAG) is revolutionizing our interaction with vast datasets and language models. RAG systems offer more precise, contextually aware, and current answers by retrieving pertinent information before generating responses. N...
Introduction: Why Do Chatbots Need Memory? Imagine chatting with someone who forgets everything you say the moment the conversation ends. Frustrating, right? That’s where memory capabilities in chatbots make all the difference. Instead of starting ev...
🧠 What Is HYDE? HYDE stands for Hypothetical Document Embeddings. It’s a cutting-edge query transformation method where a model, like GPT-4, generates a fake but plausible document based on the query — and then that document is embedded and used to ...
