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    3. Shaped

    Shaped

    AI-native personalization and hybrid search platform that replaces the need for a standalone vector DB stack. Combines hybrid search (keyword + vector retrieval), multi-stage ranking, real-time session adaptation, and business-objective modeling with warehouse-native architecture.

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    Information

    Websitewww.shaped.ai
    PublishedApr 4, 2026

    Categories

    1 Item
    Cloud Services

    Tags

    3 Items
    #personalization#hybrid-search#recommendation

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    Overview

    Shaped is an AI-native personalization and hybrid search platform that provides the functionality of a vector database plus additional ranking, experimentation, and business-objective control layers out of the box.

    Features

    • Hybrid search: keyword + vector retrieval fused together for relevance
    • Ranking & personalization: embeddings, multi-stage ranking (two-tower, ANN, transformers), and real-time session adaptation
    • Value Modeling: blend conversions, engagement, diversity, freshness, and fairness at inference time without retraining
    • Warehouse-native: plug directly into Snowflake, BigQuery, Redshift with SQL transforms for transparent feature engineering
    • Real-time APIs: personalized feeds, recommendations, and search endpoints ready for production
    • Cold-start handling: uses metadata, hybrid retrieval, and transfer learning to serve relevant results from day one
    • Real-time updates: supports ingesting and re-ranking in real time, adapting within-session

    Pricing

    Contact-based pricing; no public self-serve tier listed.