Shaped is a vector database with a feedback loop for personalized hybrid search, recommendations, and agent retrieval. Unify data, rank results, and improve wit
Shaped delivers a cloud‑native recommendation engine that learns from shopper behavior and serves real‑time product suggestions across web, mobile, and email. It targets retailers and brands that need to turn browsing into buying without heavy data science overhead. In 2026, personalized experiences are a revenue driver, and Shaped promises to automate that at scale.
Quick Summary
Overall Rating 4.2/5 Best For E‑commerce teams seeking plug‑and‑play personalization Pricing $100 free credits, no credit card required Free Plan Yes Ease of Use 4.0/5 Business Value 4.3/5
Shaped is a fully-managed AI ranking platform that functions as a vector database with a feedback loop, unifying retrieval, ranking, and learning in a single query via ShapedQL. It supports hybrid search (semantic, lexical, keyword) and personalizes results per user, using behavioral signals and business rules. The platform offers a three-layer architecture (query, intelligence, data) with 30+ native connectors, including Snowflake, BigQuery, Kafka, and Postgres, and claims sub-50ms latency with 99.95% uptime. It is SOC 2 Type 2 certified and GDPR, CCPA, and HIPAA compliant. Shaped is positioned as a replacement for legacy RAG stacks, claiming 50x cheaper answers ($0.03 vs $1.50) and no retry loops. It is used for search, recommendations, agent retrieval, and personalized feeds, with proven results like 2.5x engagement and +79% D6 retention. Notably, Whatnot has acquired Shaped, as reported by TechCrunch.
Professional reality: Shaped has been acquired by Whatnot, which may affect its standalone roadmap and support for new customers.
ShapedQL is a SQL-like interface that lets you retrieve by text, user ID, or item ID, blending semantic and keyword search across multiple indexes. You can apply hard filters, business rules, ML models, and diversity reordering in a single query.
Replace multiple systems with one query and get personalized results in milliseconds.
Unlike static vector stores, Shaped learns from user behavior. Every click, purchase, or engagement signal is fed back into the ranking models, so results get better over time.
Continuously improving relevance that drives measurable engagement and revenue.
Shaped unifies retrieval, ranking, and learning in one platform. The query layer provides real-time retrieval with <50ms latency, the intelligence layer handles embeddings and ML models, and the data layer connects to 30+ native connectors.
No more duct-taping separate services—get a complete relevance stack out of the box.
Traditional agent stacks cost $1.50 per answer due to retries and bad context. Shaped delivers the right results first time, cutting costs to $0.03 per answer with no retry loops.
Slash infrastructure costs while improving answer accuracy.
Shaped personalizes results per user by blending semantic and keyword search with behavioral signals like click-through rate models. It ranks for decisions, not just document similarity.
Higher engagement, retention, and conversions through truly personalized experiences.
Shaped is SOC 2 Type II certified, GDPR/HIPAA compliant, and offers a 99.95% uptime SLA. It handles 5B+ documents and 100M+ users at scale.
Trusted by leading teams to power mission-critical search and recommendations.
Shaped Cloud offers a free tier with $100 in credits and no credit card required, allowing you to connect your data and retrieve results in milliseconds. The platform is a fully-managed AI ranking service with a feedback loop, and pricing is based on usage. For detailed pricing plans, please contact the sales team or refer to the official documentation.
| Plan | Price | What You Get |
|---|
Visit the official Shaped website to check the latest pricing and plans.
Personalized content feeds that adapt in real-time to user behavior, driving engagement and retention.
Hybrid search combining keyword and semantic relevance, reranked by user-specific signals for better results.
Power AI agents with contextual memory and retrieval, reducing retry loops and cutting costs by 50x.
Dynamic email content personalized per recipient, improving CTR and engagement.
Sign up for a free Shaped account and connect your e‑commerce platform via the connector wizard.
Import your product catalog and define basic business rules (e.g., exclude out‑of‑stock items).
Activate the Live Recommendations API and place the script tag on your site’s header.
Review the Impact Dashboard and run your first A/B test to measure lift.
Shaped delivers strong ROI for mid‑size retailers that need fast, reliable personalization without hiring data scientists. Its real‑time API and out‑of‑the‑box analytics are the primary strengths, while the limited deep‑model customization may hinder very large enterprises. For businesses with catalogs under 100k SKUs, the Professional tier offers clear value; larger players should evaluate an Enterprise agreement or a more customizable platform.
| Decision Area | Shaped | When Another Option Wins |
|---|---|---|
| Architecture | Unified three-layer relevance engine (query, intelligence, data) with 30+ native connectors and no ETL required. | If you need a simple vector store with no built-in personalization or feedback loop. |
| Personalization | Built-in feedback loop: results are personalized per user and improve with every interaction. | If you prefer to build your own personalization layer on top of a basic retrieval system. |
| Cost & Latency | Claims $0.03 per answer vs $1.50 for traditional stacks, with <50ms latency and no retry loops. | If your workload is extremely simple and doesn't require multi-stage ranking or learning. |
| Query Capabilities | ShapedQL supports hybrid search, hard filters, ML model scoring, and diversity reordering in one query. | If you only need basic keyword or vector search without complex ranking logic. |
| Deployment & Scale | SOC 2 Type II, GDPR/HIPAA compliant, 99.95% uptime SLA, handles 5B+ documents. | If you require on-premise deployment or a more traditional database setup. |
Algolia is a popular search API known for fast, typo-tolerant keyword search. Shaped goes beyond that by adding semantic search, personalization, and a feedback loop in a single query.
Choose Shaped if: You need hybrid search with ML-based reranking and personalization out of the box. Choose Algolia if: You only need straightforward keyword search with minimal setup and don't require personalization.
Amazon Personalize offers ML-based recommendations but requires more integration work. Shaped provides a unified query layer that combines retrieval, ranking, and learning with 30+ connectors.
Choose Shaped if: You want a single API for search, recommendations, and agent retrieval with real-time personalization. Choose Amazon Personalize if: You are already deeply invested in AWS and prefer a managed service with a separate setup for each use case.
Shaped is a vector database with a feedback loop, designed for real-time personalization and agent memory. It unifies retrieval, ranking, and learning in one query, and is built for decisions rather than documents. It was recently acquired by Whatnot.
Unlike a vector store, Shaped knows who is asking. Results are personalized per user and get better with every interaction. It supports retrieval by text, user ID, or item ID, and blends semantic and keyword search with reranking based on user behavior.
ShapedQL is a SQL-like query language that allows you to retrieve results using one query for any use case. It supports hybrid search across multiple indexes, hard constraints and business rules, ML models and value functions, and diversity and exploration reordering.
Shaped claims to be 50x cheaper than traditional agent stacks, with answers costing $0.03 instead of $1.50. It eliminates retry loops, provides unified context from all data sources in one call, and includes a feedback loop where every interaction makes results better.
Shaped offers 30+ native connectors, including Segment, Amplitude, BigQuery, PostgreSQL, MySQL, and Snowflake. It is SOC 2 Type II certified, GDPR/HIPAA compliant, and backed by a 99.95% uptime SLA. It can handle 5B+ documents.
Bottom Line: Shaped is a solid investment for mid‑size retailers seeking rapid, real‑time personalization, but large enterprises with heavy custom modeling needs should explore more flexible platforms.
Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team
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