Endee for E-commerce

Let shoppers find products by describing what they need,"red summer dress under $100" returns relevant results even if product titles use different words. Handle misspellings, synonyms, and cross-language queries with one unified index.

Upload a photo and find visually similar products. Multimodal embeddings (CLIP, ImageBind) encode both images and text into the same vector space so a photo search and a text search return consistent results.

"More like this" and collaborative filtering powered by user behavior vectors. Endee matches user preference vectors against item vectors in real time, no pre-computed recommendation tables to maintain.

Every millisecond of search latency costs conversion rate. Endee serves results in under 5ms on catalogs of 100M+ SKUs. No caches to warm. No degradation at peak traffic.

Combine semantic similarity with hard filters, category, price range, size, availability, brand. Filters run inside the ANN graph traversal so you never trade recall for filter performance.

Serve hundreds of sellers on a single Endee cluster. Metadata-scoped search ensures each seller's catalog stays isolated without managing separate indices per tenant.