Shaped
Vector database with real-time personalization feedback loops

Shaped combines vector database capabilities with machine learning to deliver adaptive search and recommendation systems. The platform ingests data from your existing sources—data warehouses, streaming platforms, or APIs—and learns from user interactions to continuously improve relevance.
Highlights
- Query results under 50ms latency with hybrid semantic-keyword search
- Automatic feedback loop that improves rankings with every user action
- Native connectors to Snowflake, BigQuery, Kafka, and data platforms
- Pay-as-you-go pricing ($0.03 per query vs. $1.50 with traditional stacks)
- ShapedQL interface for text, ID, and attribute-based retrieval
Built for engineers scaling personalization, Shaped reduces infrastructure complexity by centralizing search, rankings, and recommendation logic. Start free with $100 credits and pay only for queries. Whether powering an e-commerce recommendation engine, AI agent memory retrieval, or personalized content feeds, Shaped handles the learning automatically.
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