Let's search together

Nibelung is a vector-based search engine for eCommerce that marks a new stage in the evolution of search technologies. Unlike traditional keyword-based search, vector search understands the meaning behind a query, delivering more accurate and relevant results — both for popular (high-frequency) searches and for rare, specific long-tail queries. The Nibelung team is working to create a new standard for online store search: full automation of search setup, optimization, and analysis through AI, ushering in the next phase of search engine evolution.

Incredibly quick. The majority of our search requests are processed in 1–20 milliseconds. Compared to our rivals, that is up to 200 times faster.Nevertheless, a variety of factors influence query performance, such as the amount of data being searched through and the query's CPU intensity.

By continuously analyzing search queries and user interactions, the search engine identifies which results are most likely to lead to purchases. It then prioritizes these results to maximize conversion rates. We invest significant effort into training machine learning models specifically designed to increase conversion rates and revenue for online stores.

No manual intervention is needed. The search engine is designed to automatically adjust and optimize search results based on real-time data, ensuring continuous improvement and relevance.
This has become possible with the advent of advanced AI solutions and large multimodal models (LMMs), enabling autonomous, data-driven refinement of search relevance, ranking, and performance optimization at scale.

Our projects (Business, Enterprise plans) are supported by friendly customer success managers who'll know you and your business objectives. At Nibelung, we believe in a client-centric approach to project management, ensuring that every collaboration is a seamless and successful journey.