Shaped

Experience optimization suite (Mastercard) providing recommendations, targeting, and personalization without requiring vector database infrastructure. Operates at the application level with turnkey personalization and experimentation capabilities for marketing and growth teams.

AI-powered search platform that evolved from a traditional keyword search engine to include vector embeddings and semantic retrieval. Offers federated indexing and developer-friendly APIs for teams already using Algolia, adding semantic search without managing a separate vector database.

Experience optimization and experimentation platform providing recommendations, targeting, and A/B testing without requiring vector database infrastructure. Focuses on personalization at the application level with minimal engineering setup for marketing teams.

High-performance vector search capability built into Google Cloud Spanner that enables semantic search and similarity matching on high-dimensional vector data within a transactional database, eliminating the need for separate vector databases.

Hybrid search service within Snowflake that combines vector search, keyword search, and semantic reranking for retrieval tasks on data stored in Snowflake tables.

Microsoft's cloud-based search service with integrated vector search, hybrid search, and semantic ranking capabilities. Provides both traditional full-text search and modern vector-based semantic search with built-in AI enrichment.