General Questions About Thalius Search

What is Thalius Search?
Thalius Search is an proprietary AI-powered product discovery and search engine for e-commerce, combining keywords, advanced embeddings (semantic search), and interactive sliding search for a smarter, more intuitive user experience.

What is the Taste Finder and how does it work?

Thalius Search features a unique Taste Finder that allows users to select their personal tastes and preferences directly within each search query. This interactive tool enables shoppers to filter and discover products based on individual taste profiles, such as color, style, materials, or ambiance. Additionally, the Taste Finder can seamlessly match tastes across products, for example, finding sofas and tables that complement each other, making it effortless to curate harmonious product combinations for any room or look.

Key benefits:

• Personalized product discovery based on personal taste

• Simple cross-category matching (e.g., furniture and décor)

• Streamlined exploration and inspiration for design-driven shoppers

How does semantic search differ from traditional keyword search?
Semantic search understands the meaning and intent behind queries, surfacing relevant results even if the exact keywords aren’t matched. In contrast, traditional keyword search only finds literal word matches, which can miss conceptually similar products.

What are 'embeddings' in AI search?
Embeddings are numerical representations of data like product descriptions or queries, that encode meaning and context. They allow Thalius Search to connect conceptually similar items and improve discovery, even across languages and with synonyms.

What is sliding search and how does it work?
Sliding search enables users to dynamically refine search results in real time using interactive sliders (e.g., price, color, category), making exploration easier and faster.

How can Thalius Search boost my conversion rates?
With more accurate, relevant, and engaging search results, users find what they want faster, reducing search abandonment and boosting conversion rates up to 2 times over basic search solutions.

Technical & Integration

Is Thalius Search easy to implement with my existing tech stack?
Yes. Thalius integrates via API or plugins with all major e-commerce platforms and search engines supporting vertical search, typically requiring no major system overhaul.

Does Thalius Search support multilingual catalogs?
Absolutely. Our embeddings technology enables semantic matching across more than 100 languages, delivering relevant results no matter the language of the query or listing.

What data does Thalius need to work?
Thalius works best with product titles, descriptions, images, and user-interaction data. It supports structured and unstructured data formats.

Performance & Use Cases

How fast is Thalius Search?
Our engine is optimized for real-time performance, returning results in less than 100ms for most catalogs. It’s also 500–1,000× more efficient in compute than traditional LLM-powered search engines.

Who uses Thalius Search?
Ideal for e-commerce, marketplaces, and high-volume retailers with large, dynamic catalogs, including auctions and niche marketplaces. We are currently implementing large e-commerce sites within home decor and market places, reach out if you need references!

How does Thalius Search improve the user experience?
By offering relevant, personalized, and visually engaging discovery while reducing friction at every search step—helping users find products they love.

Customization & Support

Can I customize the search interface to match my brand?
Yes. Thalius offers a flexible UI with easily customizable components to match your website’s design and user flow.

What kind of support is available?
We provide standard email/ticket support and priority hotline support, plus access to detailed analytics, onboarding, and optimization consultations.

I´m tech, this I can develop myself…

Replicating basic semantic vector search is possible with OSS tools (FAISS, Pinecone, Elasticsearch with kNN, OpenAI/Google embeddings). However, the distinctive UX (smooth, interactive controls, semantic sliders, taxonomy blending) and well-tuned attribute/embedding mapping require significant expertise in both design and data science. Replicating this exact experience at this quality (including attribute engineering, dynamic UIs, real-time response) would not be trivial for most dev teams. It likely requires a team strong in both modern ML, data science and product/UX design. The unique algorithms and methods are also IP with many patents ahead.