RAG-as-a-Service for Ecommerce
Stop building complex ecommerce RAG pipelines. Get product search in one API call.
The Solution
A single REST endpoint that any chatbot platform can call via webhook. Natural language in, structured products out.
POST /api/products/search
{
"query": "comfortable running shoes under $100",
"filters": {
"in_stock": true
}
}{
"products": [
{ "id": "p_123", "title": "Nike Air Zoom", ... },
{ "id": "p_456", "title": "Adidas Ultraboost", ... }
],
"suggested_follow_ups": [
"What size?",
"Trail or road?"
],
"explanation": "Found 12 running shoes
matching your preferences..."
}Speed matters! SSE streaming enables fast first response time.
How It Works
From raw product data to conversational search in minutes, not months.
Connect your product catalog via Google Shopping XML feed. We handle the rest.
We automatically analyze images and text to create rich embeddings optimized for e-commerce search.
Call our real-time API from any chatbot or app. Get relevant products with natural language queries.
Features
Everything you need to add intelligent product search to your chatbot.
Product-aware embeddings that understand "something like Ultraboost but cheaper" without custom training.
50+ languages supported out of the box. No configuration needed — customers search in their language, get results that match.
SSE streaming shows results as they're found. Users see products instantly instead of waiting for the full search to complete.
Combines semantic understanding with exact matching. Get precision and recall without the tradeoffs.
No embeddings to manage, no schemas to design. Upload your catalog and start querying in minutes.
Pricing
Start free, scale as you grow. No credit card required.
For developers evaluating
* If you upload more products, we will choose the first 5,000 in-stock ones randomly.
Get StartedFor growing startups
For scale-ups
Need more? for enterprise pricing.
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