I built a semantic job matcher for freelancers using Qdrant + BGE embeddings — here's what the rankings look like

Been freelancing for several years. Tired of manually scanning job listings trying to guess which ones fit my stack. So I built a tool: embed your profile once, rank job listings by semantic similarity. No keyword rules — pure vector search. How It Works Parse your profile (title, stack, portfolio) into a rich text chunk Embed it with BAAI/bge-base-en-v1.5 (768-dim) → store in Qdrant Embed each job listing the same way Rank by cosine similarity Real Results on 6 Sample Jobs Rank Score Job 1 0.87 Senior AI/ML Engineer – Multi-Agent Systems ← correct 2 0.83 Full-Stack – Next.js + Python AI Backend ← correct 3 0.79 Backend Engineer – FastAPI + PostgreSQL ← correct 4 0.68 AI Chatbot Developer – GPT-4 Integration ← fair 5 0.71 AWS Solutions Architect – DynamoDB/Cognito ← correct 6 0.41 React Native Developer – iOS/Android ← correctly last Most interesting: the React Native role scored 0.41 despite "React" appearing multiple times in my profile. Semantic context beats keyword matching. What