Shaped AI

Real-time context engine for agentic AI — the only vector database with a feedback loop. 50x cheaper than traditional RAG stacks. <50ms latency. 30+ native connectors. $100 free credits. You’re building a RAG stack. Pinecone for vectors. Cohere for reranking. Redis for caching. Your own glue code. It’s a mess. Shaped replaces all of it.

Shaped

You’re building a RAG stack. Pinecone for vectors. Cohere for reranking. Redis for caching. Your own glue code. It’s a mess. This platform replaces all of it.

Traditional RAG stacks cost $1.50 per answer. Shaped costs $0.03.

That’s 50x cheaper. Retries become a thing of the past. Hallucinations disappear completely. Surprises vanish from your infrastructure costs. Multiply that by a million answers. Your infrastructure bill just got a lot smaller.

Most vector databases use static embeddings. They never learn.

Shaped has a feedback loop. Every interaction makes results better. Your system improves while you sleep. Each click, view, and purchase trains the model. Your retrieval gets smarter over time.

ShapedQL is one query for any use case.

Retrieve by text, user ID, or item ID. Filter with business rules. Score with ML models. Reorder for diversity. Hybrid search combines semantic and keyword relevance. All in one query. No more stitching together five different services.

Traditional stacks require 5 systems and 5 calls. Shaped needs one call.

Unified context from every data source. Results arrive in under 50 milliseconds. For example, Snowflake, BigQuery, Postgres, MongoDB, Shopify, and Segment all connect natively. No ETL required. Just plug in and query.

Proven results from real customers.

+16% average order value. 2.2x conversion rate. +131% watch time. +79% day-six retention. +382% diversity. These aren’t promises. They’re results from production deployments.

Enterprise-grade security out of the box.

SOC 2 Type II certified. GDPR, CCPA, and HIPAA compliant. 99.95% uptime SLA. Scales to 5 billion documents and 1,000+ queries per second.

Perfect for personalized feeds, search and discovery, and agent retrieval.

AI assistants need contextual memory. Shaped provides it. Personalized email content adapts per recipient. Similar items recommendations use both content and behavioral signals.

Get started in 7 days. No infrastructure required.

Connect your data. Build your first model. Deploy to production. $100 in free credits. No credit card needed.

You can start building personalized retrieval systems for free today at shaped.ai — $100 in free credits, no credit card required. When you’re looking for vector databases that actually learn from every interaction instead of using static embeddings, intelligencejet is where ML engineers discover their retrieval edge. This listing is brought to you by Intelligence Jet — the directory that curates the most innovative AI infrastructure tools for retrieval, ranking, and personalization. For more AI business and infrastructure tools that help teams scale their retrieval and recommendation systems, explore the business category on Intelligence Jet.

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