What is Shaped?
Shaped is a real-time context engine designed to power agentic AI with personalized, relevant results. Unlike traditional vector stores that treat all queries equally, Shaped understands who is asking and tailors responses accordingly. It combines semantic and keyword search, reranked by user behavior, to deliver the right 10 results instead of 200 noisy ones. This dramatically reduces costs—$0.03 per answer versus $1.50 for DIY solutions—while improving accuracy and user satisfaction.
Key features include hybrid search blending semantic and keyword relevance, personalized content feeds that adapt in real-time, and agent memory for contextual retrieval. Shaped ingests raw event logs directly from your warehouse or real-time streams without ETL, making integration seamless. It supports retrieval by text, user ID, or item ID, and offers Python and TypeScript SDKs, plus MCP support.
Benefits include significant cost savings, faster time-to-insight, and improved user engagement through personalization. Use cases span personalized search and recommendations, dynamic email content, conversational AI, and powering AI agents with contextual memory. Technical highlights include SOC 2 Type II certification, GDPR/HIPAA compliance, and a 99.95% uptime SLA. Shaped handles embeddings, models, and data freshness automatically, ensuring results are always up-to-date. Whether you're building a recommendation engine, a search feature, or an AI assistant, Shaped provides the context-aware infrastructure to make your application smarter and more efficient.
Use Cases
Key Features
hybrid search personalized content feeds agent memory real time adaptation no ETL integration retrieval by user I3D Python and TypeScript SDKs MCP support cost reduction improved accuracyWho is it for?
AI engineers, search engineers, recommendation system developers, conversational AI teams, product personalization teams, data scientists, platform engineers
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