Veridian.ai – AI-Powered Search for Modern Websites
Ashwin Kashyap
Executive Summary
Today’s customers expect more than keyword search—they want intelligent, conversational, and context-aware interactions. Most existing website search systems fall short.
Veridian.ai upgrades your site search with an AI-powered overlay that requires no backend changes, delivering a modern search experience your customers expect.
What Veridian Does
Veridian.ai enhances your search bar with LLM-powered, intent-aware capabilities:
- Understands natural language queries
- Executes smart product searches and comparisons
- Aggregates results into structured, branded displays
- Renders inline on your existing site
Key Use Cases
User Query | Result |
---|---|
“Compare iPhone 12 and 14 side by side” | Comparison table with pricing, features, specs |
“Best laptop under $1,000 for video editing” | Top picks based on price and use case |
“Eco-friendly cleaning products with 4+ stars” | Filters semantically and shows curated list |
Customer Benefits
Feature | Value |
---|---|
Intent Understanding | Better match for customer intent |
Enhanced Discovery | Recommendations, comparisons, filters |
No Engineering Required | Injected frontend only |
Fast Time to Value | Live evaluation in minutes |
Visual Impact | Custom-branded result rendering |
Try It on Your Own Site
- No installation required for preview
- One-click demo overlays your live site
- Full deployment adds one JS snippet
System Architecture
Key architectural features:
Client-side Optimization
- Local caching to reduce API calls
- Progressive enhancement for better UX
- Graceful degradation if JS is disabled
API Layer
- Rate limiting to prevent abuse
- Load balancing for horizontal scaling
- API gateway for request routing and auth
Search Pipeline
- Query preprocessing for normalization
- LLM-powered intent understanding
- Dynamic search plan generation
- Parallel execution of search strategies
Caching & Storage
- Redis for fast response caching
- Vector DB for semantic search
- Product database for structured data
- Cache invalidation strategies
Fallback System
- Circuit breaker pattern
- Basic search fallback
- Graceful degradation paths
Component Breakdown
Injected Frontend Widget
- Intercepts search input
- Sends query to Veridian backend
- Displays enhanced results in place or alongside native search
Intent Parser (LLM)
- Converts natural language into structured search goals
- Determines whether the query is for comparison, filter, recommendation, etc.
Search Plan Generator
- Translates intent into one or more search actions:
- Single query: keyword
- Multi-query: compare multiple products
- Filtered query: map query to product tags or metadata
Plan Executor
Result Aggregator
- Extracts titles, prices, specs, reviews
- Normalizes and de-duplicates
- Formats into clean JSON
Renderer
- Injects enhanced UI (carousel, table, filters)
- Styled to match your branding
Privacy & Security
- No access to backend systems or customer data
- All interactions occur in the browser or via secure APIs
- Optional: enable CORS-aware server-side scrapers for robustness
Ready to Transform Your Search Experience?
Contact me to schedule a personalized demo and see how Veridian.ai can enhance your website’s search capabilities. I’ll help you understand the implementation process and discuss how we can tailor the solution to your specific needs.