Shyna
Kovil AI Assistant
AI assistant. Verify important details with the Kovil AI team.
Deploy semantic vector search on headless Shopify Hydrogen storefronts, executing intent classifications at sub-45ms speed.
Use Cases
Replaces traditional exact keyword matches with true semantic queries. Customers can search for items based on context (e.g., 'casual clothing for summer weddings' or 'shoes matching a black suit').
Bridges custom AI search queries with the official Shopify Storefront API. Designed specifically to work within Hydrogen (React/Remix) and run on Oxygen edge nodes.
Caches common query embeddings at the edge (Cloudflare/Vercel) to deliver near-instant search results, beating standard SaaS search apps.
Allows customers to input complex compound filters in natural language (e.g., 'blue dress under $150 in size medium that is in stock'). The agent parses the attributes and applies the filters directly.
In Practice
A live deployment demonstrating vector database indexation and intent classification.
Kovil AI integrated custom vector databases into their Hydrogen frontend and Oxygen deployment, resolving multi-attribute semantic queries instantly.
How It Works
User inputs a conversational search query in the Hydrogen search bar.
Edge functions classify search intent and extract filters.
Matches query embeddings against pgvector databases in milliseconds.
Renders exact catalog matches via dynamic Remix routing.
Trust & Safety
Always returns related semantic items rather than showing an empty '0 results found' screen.
Maintains optimal page load speeds with edge-cached queries.
Gives product teams clear insight into how terms map to embeddings.
Syncs directly with the Shopify Admin API for automated database refreshes.
Compatibility
Traditional Search vs. Headless AI Search
| Capability | Traditional Search | Kovil AI Agent |
|---|---|---|
| Search mechanism | Exact string keyword matching | Vector embeddings matching customer semantic intent |
| Zero results screens | Commonly displays 'No items found' | Returns alternative options based on semantic closeness |
| Complex filters | Manual sidebar checkbox selection | Conversational filter extraction (size, price, stock) |
| Architecture fit | Third-party JS widgets slowing site | Native Hydrogen SDK integration running on Oxygen edge |
FAQ
Launch customized semantic search modules and intent parsers with a 2-week risk-free trial.