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eShopLite
.NET eCommerce with Semantic Search & AI
eShopLite is a .NET reference application showing how to wire semantic search and AI model integration into an ecommerce storefront. Rather than a SaaS product, it's a working codebase engineering teams fork to prototype vector search, keyword search, and LLM-backed product discovery patterns. The intended reader is a CTO or platform architect at a Microsoft-stack retailer evaluating how to add AI search to an existing .NET commerce build without committing to a vendor.
> what it does
- Demonstrates semantic and keyword search patterns inside a .NET storefront
- Ships as forkable reference code, not a hosted service
- Shows AI model integration points for product discovery workflows
- Targets Microsoft-stack teams building custom commerce search experiences
- Serves as architectural blueprint before committing to commercial vendors
> also under
> alternatives to eshoplite
by surface + editorialFynq AI & Image Search AppEnhance product discovery with AI text and image search, smart filters, and similar recommendations.freemiumeditorial pick
Rebuy Personalization EngineAI-powered product recommendations & search: cart, checkout, post-purchase upsells, and A/B testingfreemiumeditorial pick
VespaAI-powered search engine and vector databasepaideditorial pick
> eshoplite pairs well with
GorgiasPairs AI product discovery with conversational support on the same customer journey.paid
One AIComplements backend AI search with front-end conversational engagement layer.freemium
- SCShopify Customer AccountsAligns custom AI search patterns with Shopify's agentic commerce and account primitives.mcp