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product-search

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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

  • Updated Jul 2, 2023
  • Python

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.

  • Updated Jan 16, 2026
  • TypeScript

Walmart MCP Server: Connect AI agents (e.g. Claude Desktop, Gemini CLI) to Walmart via Model Context Protocol. Real-time product search, item lookups, stock, customer reviews, store locations, bestsellers, and smart recommendations. Optimized for shopping assistants, e-commerce automation, and retail market analysis. Node.js, TypeScript, MCP.

  • Updated Jan 20, 2026

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