900 new features in WINDEV, WEBDEV and WINDEV Mobile 2026

SEARCH FOR“SHOE” HFSQL FINDS ALL RELATED OBJECTS 155 N e w f e a t u r e W D W B WM CUSTOMIZABLE MODEL By default, vectors are calculated by the model included with HFSQL. This model can be customized. Alternatively, you can use a "Semantic vector" item to directly indicate the value of a semantic vector. Benefit of this new feature in version 2026: Quick and easy 156 N e w f e a t u r e W D W B WM 384-DIMENSIONAL EMBEDDINGS Text embeddings are obtained by cutting text into chunks. An embedding is calculated for each of the chunks. In the provided model, each embedding has 384 dimensions. These embeddings are grouped together in a set attached to the text. It is this set that's in the index. All embeddings are organized in a vector space. The core of the index is a hierarchical graph. Benefit of this new feature in version 2026: HFSQL turns complexity into simplicity 157 N e w f e a t u r e W D W B WM SPELLING MISTAKES One of the benefits of this type of index is its high tolerance to searches including spelling mistakes, grammatical errors and dyslexia. You will still find "Tennis shoes" if you search for "Tenis shoes" or "Tennis sheos". Benefit of this new feature in version 2026: Reely powerfull 158 N e w f e a t u r e W D W B WM LANGUAGE-INSENSITIVE SEARCH Indexing and searching are language-independent. You can search for “zapatos” and still find shoes. Benefit of this new feature in version 2026: I like your zapatos amigo PRACTICAL EXAMPLE Thanks to semantic search, a user who enters descriptive terms that are not present in the stored text, such as “mid-season coat”, can obtain relevant results covering all related products (jackets, windbreakers, thin parkas, etc.), even if these words are not present as such in the descriptions. The engine interprets the user’s idea instead of trying to match words. SEMANTIC SEARCH IN A CLOTHING CATALOG Imagine a customer visiting an online store to find a lightweight jacket for spring, but not knowing the exact terminology.When the users searches for: "mid-season coat" Standard search (exact keywords): Search results will only include: items with a description that contains exactly “coat” and “mid-season”. The following are missing: • lightweight windproof jackets, • unlined zipped jackets, • thin, water-repellent parkas, because the description of these products does not include the term “mid-season”. Semantic search: The search engine understands that the customer’s intention is to find a lightweight outer garment suitable for mild or variable weather. It also includes: • lightweight waterproof jacket, • spring jacket, • mid-season anorak, • unlined windproof parka. Even if the words don’t appear in the product descriptions, the query will produce results that are relevant to the customer’s needs. 33 Wh a t ' s n e w i n W I ND E V 2 0 2 6 WE B D E V 2 0 2 6 W I ND E V Mo b i l e 2 0 2 6