← Back to Projects
Semantic Search Engine
Built semantic search for 76K+ products using MiniLM embeddings and Pinecone DB. The system delivers top-10 similar results with TF-IDF keywords via FastAPI/CLI interface, achieving <300ms latency and deployed on Railway.
How It Works
🔍
Embeddings
Product descriptions converted to 384-dimensional vectors using MiniLM
📊
Vector Search
Pinecone DB performs fast similarity search across 76K+ products
⚡
Performance
<300ms latency with FastAPI backend, deployed on Railway
Try Semantic Search
Search 76K+ products using semantic similarity. Try queries like "audio device", "work setup", or "typing tool" to see how semantic search finds related products.
Enter a search query to see semantic search in action.
Technical Details
- •Embeddings: MiniLM (384 dimensions)
- •Vector DB: Pinecone (76K+ vectors)
- •Backend: FastAPI with async endpoints
- •Deployment: Railway with auto-scaling
- •Latency: <300ms average response time