1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

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

Framework for building Commerce Search Solutions around open source search technology like Elasticsearch

Relevance Prediction in E-commerce Product Search

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

AI product recommendation engine for Shopify type any natural language query and instantly get ranked product matches. No external APIs, fully in-store.

SAP CX Intelligence & Incubation (CXII) Commerce extension is required to configure the tenant credentials in Commerce Backoffice. This is required for enabling configurations for CXII UI components like SAP-samples/cxii-visual-search-ui-component.

Advanced full-stack product search & filter system using Django REST Framework, MySQL, Next.js App Router, Tailwind CSS, and Shadcn UI with pagination, live search, and dynamic filtering.

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

MagnificShop is a dynamic product searcher built with Javascript Vanilla, HTML5 and CSS.

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

Seamless Flutter e-commerce app for scalable shopping with Firebase

SAP CX Visual Search UI component is an extension of SAP Commerce Cloud, composable storefront. This is a reference implementation for customers to use as a library or other custom implementations.

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

🛒 Connect AI agents to Walmart's ecosystem using the Model Context Protocol for real-time data access and enhanced product search capabilities.

This module aims to make documents searchable with product keywords in Magento 2.

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

AI-powered chatbot for querying supplier and product data using natural language. Built with React, FastAPI, and OpenAI.

A scalable e-commerce product search and filtering platform built with Spring Boot, MongoDB, and React. Implements backend-driven pagination, advanced category and subcategory filters, and efficient handling of large product datasets with reliable image rendering.

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.