It works by converting product descriptions into vector embeddings stored in Endee, a high-performance vector database. When a customer asks a question, the system finds the most semantically similar products using vector search, then generates a helpful answer grounded in the actual product catalog.
☆16Aug 4, 2026Updated 2 months ago
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