Semantic Search As You Type | Build a Real-Time Search App with Qdrant & Flask скачать в хорошем качестве

Semantic Search As You Type | Build a Real-Time Search App with Qdrant & Flask

In this video, we build a real-time semantic search application where search results update as you type, powered by vector embeddings instead of keyword matching. You’ll learn how to run Qdrant using Docker, generate embeddings with FastEmbed, and connect everything using a Flask backend and a simple HTML + JavaScript frontend. This is a complete end-to-end project — from creating a vector collection and loading ~20,000 documents, to querying Qdrant on every keystroke and rendering live results in the browser. Final Project Code: https://github.com/datageekrj/qdrant-... 🔧 What you’ll build in this video: Search-as-you-type semantic search UI Flask API for vector search Qdrant vector database running in Docker Embedding generation using FastEmbed (MiniLM) Real-time query → similarity score → results flow This project forms the core foundation for RAG systems, AI search engines, and modern LLM applications.