Tool overview
ZeroEntropy is listed under AI Infrastructure & MLOps AI tools.
What is ZeroEntropy?
ZeroEntropy provides specialized retrieval models for reranking, embeddings, classification, routing, query rewriting, and context compression. Developers use its API to improve search quality and reduce irrelevant context in production AI applications.
Best for
Developers building retrieval-intensive AI products
Who is it for?
Decision note
Suitable for evaluation after confirming final commercial terms, permissions, data handling, current product scope, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.
Key features
Neural reranking and embeddings
Query rewriting and routing
Context compression for models
Use cases
Improving document search
Building retrieval pipelines
Reducing irrelevant model context
Pros
- Neural reranking and embeddings
- Query rewriting and routing
- Clear fit for developers building retrieval-intensive ai products
Cons
- May require workflow-specific configuration
- Production use still needs human review
- Public commercial details may be limited
Limitations
Capabilities depend on source data, integrations, permissions, and workflow design. Teams should validate outputs, edge cases, security controls, and consequential actions before production deployment.
Pricing details
Billing options
Pricing note
Public pricing starts at $0.025 per one million tokens for zerank-2 and $0.050 per one million tokens for zembed-1. A continuing free API tier is available. Higher-volume and private deployments use monthly or custom terms.
Supported languages
- English
- Spanish
- French
- German
- Portuguese
- Italian
- Russian
- Mandarin
- Japanese
- Korean
- Arabic
- Hindi
Integrations
OpenAI-compatible API
Python SDK
REST API
AWS Marketplace
Azure Marketplace
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