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Vector databasesAvailable

Shaped

Vector database with a feedback loop for personalization

Shaped is a vector database for personalized search and recommendations. It connects to product and behavioral data, manages embeddings and freshness, then retrieves results through a feedback loop that uses user interactions to improve ranking and relevance.

SHShapedProduct screenshot pending
Best for
Online marketplaces
Pricing signal
Not publicly listed
Primary category
Vector databases
Last verified
Jul 30, 2026

The decision

Should Shaped make your shortlist?

Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.

Strongest fit

Who it is built for

  • Online marketplaces
  • Social media platforms
  • Ecommerce businesses
Practical use cases

Jobs it can take on

  • Build personalized hybrid search
  • Serve product recommendations
  • Retrieve context for agents
Before you choose

Know the tradeoffs

  • Shaped has been acquired by Whatnot
  • The website advertises USD 100 in free credits

Inside the product

What you can actually do with it.

The core product capabilities, grouped around the work they enable.

Feedback Loop

Shaped uses interaction data to improve personalized retrieval results over time.

Hybrid Search

The query layer combines semantic and keyword search across multiple indexes.

Data Connectors

Shaped provides connectors for data sources and event platforms used to power search and recommendation systems.

Typical workflow

Teams connect their data, and Shaped handles embeddings, models, and data freshness. Applications query by text, user ID, or item ID to retrieve personalized results for search, recommendations, or agent context.

Plans and official links

Plans and accessNot publicly listed.

See the entry price, free access options, company details, and direct vendor destinations in one place.

Choosing for a real workflow?

Make the tool work with the rest of your operation.

We map the workflow, connect existing systems, choose what to buy, and build what is missing.

Discuss your workflow