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Pros & Cons


  • Semantic search
    Natural language search
    Dynamic personal recommendations
    Multimodal search
    Simultaneously uses text and photo
    Supports cross-selling and upselling
    Scalability - handles millions of records
    Increases average order value
    Improves shopping experience
    Non-developers can deploy
    Quick deployment - less than 15 mins
    No coding experience required
    No credit card required for deployment
    More-like-this & More-like-these similarity search
    User style centered recommendations
    Keyword search and filter
    Personalization capabilities
    Best-in-class relevance, recall, and ranking
    Fast retrieval and filtering
    Intuitive to use
    Easy implementation
    Adaptable to user engagement
    Recommendations provide inspiration
    Supports mass scalability
    Aids in reducing Customer Acquisition Cost
    Delivers exceptional search experiences
    Creates discovery experiences
    Breathtaking customer experiences
    Offers semantic understanding of queries
    Built for non-developers as well
    Aims at increasing revenue
    Enables astounding improvements in customer experience
    Transforms keyword search to semantic search
    Enables unique discovery experiences
    Provides personalized, targeted results
    Swift results across vast catalogue
    Increases Average Order Value
    Designed to enhance search, discovery, personalization
    Platform centered around intelligent search, discovery, personalization
    Integrates keyword search & filter
    Capable of deployment swiftly
    Helps create world-class ecommerce experience
    Designed to be easy to use
    Understands user's meaning, intent, context


  • Limited multimodality
    Not developer-friendly
    Limited upgradeability
    Lacks version control
    Not open source
    No mention of security
    Absence of direct customer support
    Deployment speed claim unclear

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