3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

Relevance Prediction in E-commerce Product Search

Simple RAG implementation from scratch using MCP, focusing on Perception, Memory, Decision and Action

This code repo demonstrates how to use the word embedding model from Azure OpenAI Service to perform a semantic search on a grocery store dataset. This enhanced/completed version used Streamlit to build a web user experience to semantic search and display the most relevant items

Validate ideas with AI personas + Reddit/HN/GitHub research. Optimize loop inspired by Karpathy's Autoresearch

Local-first multimodal product search engine with text, image, and hybrid retrieval using CLIP, FAISS, React, and FastAPI.

AI sales bot that syncs Shopify product data into Qdrant using webhooks, enabling vector search and change-aware product intelligence.

Django + OpenSearch product search API with tag filtering and semantic vector support

Deep learning-based semantic product search and ranking system using SBERT embeddings and MLP trained on Amazon ESCI dataset, deployed with a real-time Gradio interface.

Elasticsearch e-commerce product search relevance lab with mappings, ingestion updates, BM25, hybrid search, and offline relevance metrics.

🛒 AliExpress Product Search - Python scraper using AliExpress API. Requires API credentials (app_key, app_secret) and OAuth setup. Extract product IDs from Wholesale pages, search with price filters, and parse comprehensive product data. Configure API keys in config.json.

BuyWhere MCP Tools for Cursor AI — product search, price comparison, and deals for AI agents

A complete e-commerce search system with retrieval, pre-ranking, and re-ranking stages using fine-tuned deep learning models. Built on Amazon Shopping Queries Dataset with ESCI relevance framework for modern product search.

Enterprise-style product search system with BM25, vector retrieval, hybrid ranking, LTR, FastAPI UI, and latency-quality evaluation on Amazon ESCI.