The Raccomando Blog
Insights on e-commerce search, product recommendations, and the AI technology behind them — straight from our team.
Introducing Hybrid Search: Combining Semantic and Keyword Matching
Our new hybrid search engine blends vector-based semantic understanding with traditional keyword matching to deliver more relevant results for every query.
How We Reduced P95 Recommendation Latency by 60%
A deep dive into the architecture changes, caching strategies, and model optimizations that brought our recommendation latency under 50 milliseconds.
5 Strategies to Increase Average Order Value with Product Recommendations
Learn how leading e-commerce brands use cross-sell and upsell recommendation widgets to boost AOV without hurting the customer experience.
How Vigna & Co. Grew Revenue 34% with Personalized Search
Italian wine retailer Vigna & Co. shares how switching to Raccomando's AI-powered search transformed their online store and drove record sales.
Building Real-Time Analytics Pipelines with Quarkus and Kafka
An inside look at how our analytics service processes millions of events per day to power dashboards and feedback loops for recommendation models.
The Complete Guide to A/B Testing Your Recommendation Strategy
From hypothesis formulation to statistical significance, here is everything you need to know to run reliable experiments on your recommendation widgets.