Redefining Intelligent Search

Vector Search: Beyond keyword matching, understand query intent through semantic analysis. When users search for "desk for computer", it accurately recalls computer desks even if those exact words aren't in the product title.

Named Entity Recognition: Automatically identify brands, colors, sizes, and categories in queries using pre-built entity dictionaries. Out-of-the-box industry dictionaries with flexible manual configuration—easily add proprietary brand names and product terminology.

Spell Correction: Automatically correct spelling errors using offline-mined correction dictionaries. Examples: "Iphoe" → "iPhone", "Smasung" → "Samsung". Visual dictionary configuration supports adding common misspellings for new brands and products.

Category Prediction: Intelligently predict query category to prioritize the most relevant products. Solves mixed results problems, helps users quickly narrow down targets, and dramatically improves search precision.

Synonym Management: Unify related terms like "hoodie", "sweatshirt", and "pullover". Visual configuration backend for flexible business terminology management.

Stopword Filtering: Automatically filter ineffective words like "the", "a", "with" to keep search focused on core content.