E-commerce Semantic Search Engine - Ecommerce Project

Project Overview

Built a sophisticated semantic search engine that revolutionizes product discovery in e-commerce platforms. The system goes beyond traditional keyword matching to understand user intent and product relationships, significantly improving search relevance and user engagement.

Challenge

Traditional keyword-based search resulted in low product discoverability, with users unable to find relevant items leading to high bounce rates and poor conversion metrics.

Solution

Implemented FAISS-based vector search with sentence transformers for semantic understanding, LLM prompt chains for intelligent recommendations, and Kubernetes deployment for horizontal scaling under traffic spikes.

Results & Impact

• Increased search engagement by 25% across all user segments
• Enabled horizontal autoscaling supporting 10x traffic spikes
• Reduced average search session time by 40% with better results
• Improved product discovery rate by 35% for long-tail items

Technologies Used