Our Hybrid LLM Search turns product search into an active trading tool.
It transforms passive catalog lookups into a conversational engine and takes your e-commerce infrastructure to the next level of conversational commerce. Vector and keyword search are combined with intent analysis from the Gemini Large Language Model, allowing even long-tail queries to be accurately interpreted.
No more LLM hallucinations thanks to our schema validation layer.
We check every interpretation against all product features, filters, and inventory. Your customers only see available, relevant items. Or a clear statement that the desired combination does not exist in the product range.
We process direct queries as usual. Gemini handles complex queries.
The Relevance Stream
The core logic of our API, the Relevance Stream, is not only individually tailored to the needs of your company, but is also dynamically and continuously optimized.
At its heart is a vector relevance calculation derived from a self-learning algorithm that takes into account your sorting logic, as well as the number and pricing of your products sold.
We are constantly learning from your metadata, your additional tracking and performance data.
Our algorithms adjust automatically to ensure that your product listings are always highly relevant. This automation means you don't have to worry about manual adjustments.
Your new AI Data Discovery is continuously evolving to ensure the best possible user experience and maximize your revenue.
Ready for BatteryIncluded?
It's time for the new Hybrid LLM Search.
We can't wait to hear about you and your plans. Interested in a short demo? Would you like to see our portal? Export us any data and we'll talk in concrete terms.
