ShapedQL
UnclaimedThe real-time retrieval engine for search, feeds, and AI agents, powered by a SQL interface.
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What is ShapedQL?
ShapedQL is a ai agents tool. ShapedQL is a SQL-like query engine built by Shaped for powering search, recommendation feeds, and AI agent retrieval in real time. It lets developers write familiar SQL-style queries to retrieve and rank results from search indexes, recommendation models, and vector stores through a unified interface. ShapedQL ships a free plan plus paid tiers that unlock as usage grows. Buyers most often compare ShapedQL against Vespa, Pinecone, Weaviate.
TL;DR - ShapedQL
- SQL-like query engine for powering search, recommendation feeds, and AI agent retrieval
- Unifies search indexes, recommendation models, and vector stores in a single query language
- Built by Shaped for real-time ranking and personalization at production scale
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Familiar SQL syntax reduces learning curve for developers
- Unifies search and recommendation retrieval into a single query layer
- Real-time performance optimized for production workloads
- Purpose-built for AI agent and recommendation system use cases
Cons
- Tightly coupled with Shaped platform — not a standalone tool
- New query language with a small community and limited third-party resources
- May be overkill for simple search implementations
Preview
Key Features
SQL-like query language for search, feeds, and AI agent retrievalUnified interface for search indexes, recommendation models, and vector storesReal-time ranking and personalization in queriesCombines filtering, sorting, and ML-based ranking in one languageDesigned for AI agents that need structured retrieval
Pricing Plans
Free Tier
Free
- Access to ShapedQL query engine
- Basic search and retrieval
- Limited request volume
Enterprise
- Unlimited queries
- Custom models and ranking
- Dedicated support
- SLA guarantees
About ShapedQL
By Toolradar Team·
ShapedQL is a SQL-like query engine built by Shaped for powering search, recommendation feeds, and AI agent retrieval in real time. It lets developers write familiar SQL-style queries to retrieve and rank results from search indexes, recommendation models, and vector stores through a unified interface. Instead of managing separate APIs for search and recommendations, teams use ShapedQL to combine filtering, ranking, and personalization in a single query language optimized for real-time retrieval.
How we evaluate tools →Source: shaped.ai
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ShapedQL FAQ
What is ShapedQL?
ShapedQL is a SQL-like query engine by Shaped that provides a unified interface for search, recommendation feeds, and AI agent retrieval. Developers write familiar SQL-style queries to filter, rank, and personalize results across search indexes, recommendation models, and vector stores.
Do I need to know SQL to use ShapedQL?
ShapedQL uses a SQL-like syntax, so familiarity with SQL helps. The query language extends standard SQL with constructs for ranking, personalization, and real-time retrieval specific to search and recommendation workloads.
What use cases is ShapedQL designed for?
ShapedQL is designed for powering search results, recommendation feeds, and AI agent retrieval in production applications. Common use cases include e-commerce product search, content recommendation feeds, and tool retrieval for AI agents.
Source: shaped.ai