The Retrieval Infrastructure for AI

Every AI system needs context. ZeroEntropy gives your LLMs, agents, and applications the right information at the right time.

Trusted in production by
AssembledProfoundSendbirdMem0+ thousands of developers
Search Accuracy Up

ZeroEntropy turns noisy retrieval into near-perfect relevance. When your models get better context, they give better answers.

Perfect Relevance
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Noisy Search Results
Gemini, OpenAI, Cohere logos
ZeroEntropy logo
Before
After
p90 latency
Latency Drops

Many teams switch to ZeroEntropy for the unmatched latency of our models and search. Fast enough for real-time AI applications, agents, and user-facing search, even at large scale.

The ZeroEntropy Stack

View docs
embeddings

zembed-1 outperforms leading embedding models even at lower dimensionality.

rerankers

zerank-2 is our state-of-the-art reranker. Get dramatically more accurate retrieval with one line of code.

zsearch

End-to-end managed retrieval. Embedding, reranking, and query generation in a single API.

Performance That Speaks for Itself

ZeroEntropy models consistently outperform leading models across standard retrieval benchmarks.

Benchmark
Vera Health

Vera Health uses ZeroEntropy for both simple retrieval across millions of medical research papers, but also for Deep Research use cases using our MCP server.

Purpose-built inference infrastructure

Our open-weight models run on optimized serving stacks to achieve the lowest latency on the market.

Benchmark
Mem0

Infrastructure companies and devtools, like Voice AI and memory for agents, trust ZeroEntropy's search engine and models for accurate retrieval across hundreds of thousands of daily queries.

Better retrieval cuts cost across the stack

Fewer tokens wasted on irrelevant context. And ZeroEntropy is cheaper at every layer.

Benchmark
Assembled

Assembled saw a 2.8x reduction in cost after switching to ZeroEntropy, all while improving both latency and retrieval accuracy.

Ship Retrieval That Works

Integrate ZeroEntropy in minutes. Models only, or end-to-end retrieval. Production-ready.

AWSHugging FaceAzure
Partner Providers

Access all models through a single, latency-optimized API, or through our partner providers.

# Create an API Key at https://dashboard.zeroentropy.dev

from zeroentropy import ZeroEntropy

zclient = ZeroEntropy()

response = zclient.models.rerank(
    model="zerank-2",
    query="What is Retrieval Augmented Generation?",
    documents=[
        "RAG combines retrieval with generation...",
    ],
)

for doc in response.results:
    print(doc)
API
ZeroEntropy API

Start building in minutes with Python and TypeScript SDKs.

VPC
ZeroEntropy VPC

Deploy in your own cloud with dedicated infrastructure. Available on AWS Marketplace and Azure.

Enterprise
Enterprise and Model Licensing

Custom deployments, dedicated capacity, model licensing, model fine-tuning, and SLAs. Talk to us.

Enterprise-Ready

From security to scale, ZeroEntropy is built for the demands of production ready AI

Compliance portal
SOC2 Type II

SOC2 Type II

Audited controls for data security, availability, and confidentiality — verified annually.

HIPAA Compliant

HIPAA Compliant

BAA-ready infrastructure with encryption at rest and in transit for protected health data.

Security lock blueprint
GDPR Compliant

GDPR Compliant

Full data residency controls, right-to-deletion, and DPA agreements for EU customers.

CCPA Compliant

CCPA Compliant

Consumer data rights honored with full transparency on collection, use, and deletion.

ZeroEntropy
The best AI teams retrieve with ZeroEntropy
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