Shaped
shaped.aiThe Real-Time Context Engine for Agentic AI
AI Toolsvector-databaseretrievalragpersonalizationrecommendationssearchagentic-ai
About
Shaped is a real-time context and relevance engine that replaces traditional RAG stacks by combining vector search, keyword search, ranking, and personalization in a single query interface called ShapedQL. It learns from user interactions through a continuous feedback loop, returning highly relevant results tailored per user or session context in under 50ms. Teams use it to power agent context retrieval, personalized search, and recommendations at a fraction of the cost of DIY approaches.
Problem
Traditional RAG stacks are expensive, require multiple services, and return noisy context without personalization or learning over time.
For
Product and engineering teams building AI agents, search, or recommendation systems
How it works
Users connect their data sources via 30+ native connectors, then query Shaped using ShapedQL to retrieve, rank, and reorder results using ML models, user context, and business rules in a single unified call.
Business model
freemium
Status
launched
Company
Shaped