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The Engine For Human-Level Search

ZeroEntropy delivers state-of-the-art rerankers and embeddings for your retrieval stack—or use our end-to-end search engine, from raw documents to top results.

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

from zeroentropy import ZeroEntropy

zclient = ZeroEntropy()

response = zclient.models.rerank(
    model="zerank-1",
    query="Which reranker is the fastest?",
    documents=[
        "Jina rerank-m0 • 300 ms",
        "Cohere rerank-3.5 • 100 ms",
        "ZeroEntropy zerank-1 • 60 ms",
    ],
)
print(response.model_dump_json(indent=4))

Developers

Queries

Documents

Tokens

Diagram showing unstructured data being transformed into embeddings, then stored in a vector database, and finally processed by a reranker to produce relevant results.

Reranker

zerank-1 is our state-of-the-art open-weight reranker that outperforms models like Cohere's rerank 3.5 or Jina's rerank m0 and significantly boosts search accuracy in a single line of code.

Try it Now

Embedding

E2E Search

Reranker

zerank-1 is our state-of-the-art open-weight reranker that outperforms models like Cohere's rerank 3.5 or Jina's rerank m0 and significantly boosts search accuracy in a single line of code.

Try it Now

Embedding

E2E Search

Reranker

zerank-1 is our state-of-the-art open-weight reranker that outperforms models like Cohere's rerank 3.5 or Jina's rerank m0 and significantly boosts search accuracy in a single line of code.

Try it Now

Embedding

E2E Search

Ship Search That Actually Works for your Chatbot or Agent

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Rerank

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

from zeroentropy import ZeroEntropy

zclient = ZeroEntropy()

response = zclient.models.rerank(
    model="zerank-1",
    query="Which reranker is the fastest?",
    documents=[
        "Jina rerank-m0 • 300 ms",
        "Cohere rerank-3.5 • 100 ms",
        "ZeroEntropy zerank-1 • 60 ms",
    ],
)
print(response.model_dump_json(indent=4))

Rerank

Embed

Copy

Copied

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

from zeroentropy import ZeroEntropy

zclient = ZeroEntropy()

response = zclient.models.rerank(
    model="zerank-1",
    query="Which reranker is the fastest?",
    documents=[
        "Jina rerank-m0 • 300 ms",
        "Cohere rerank-3.5 • 100 ms",
        "ZeroEntropy zerank-1 • 60 ms",
    ],
)
print(response.model_dump_json(indent=4))

Rerank

Embed

Copy

Copied

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

from zeroentropy import ZeroEntropy

zclient = ZeroEntropy()

response = zclient.models.rerank(
    model="zerank-1",
    query="Which reranker is the fastest?",
    documents=[
        "Jina rerank-m0 • 300 ms",
        "Cohere rerank-3.5 • 100 ms",
        "ZeroEntropy zerank-1 • 60 ms",
    ],
)
print(response.model_dump_json(indent=4))

Accuracy

Our models are open-weight, and state-of-the-art, you can read a full benchmark in our blog.

Latency

Cost

Accuracy

Our models are open-weight, and state-of-the-art, you can read a full benchmark in our blog.

Latency

Cost

Accuracy

Our models are open-weight, and state-of-the-art, you can read a full benchmark in our blog.

Latency

Cost

Seriously Secure

ZeroEntropy is built with enterprise-grade security at its core. From SOC 2 Type II compliance to HIPAA readiness, we protect your data with the highest standards — so you can focus on building, not worrying.

Use Cases

Customer Support

Companies in the Customer Support space like MyAskAI have seen significant latency and accuracy improvements when switching to ZeroEntropy's reranker.

Legal

Companies in the legal industry rely on ZeroEntropy's search API and reranker to provide very accurate responses in high stakes use cases like contract understanding or legal research.

Healthcare

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.

Voice AI

Leaping AI and other Voice AI companies trust ZeroEntropy in production to connect their agents to large knowledge bases for hundreds of thousands of calls every day.

Put Your Retrieval in Autopilot Now

Work directly with the founders to shape the future of agentic retrieval.

Talk to a Founder

Common Questions

1. What makes ZeroEntropy different from traditional search engines?

2. Does ZeroEntropy handle PDF parsing and chunking?

3. How does ZeroEntropy process the data I send? Can you deploy on premise?

4. Is there a free trial?

5. What is the query latency?

6. What kind of support is offered?

7. Is it easy to integrate with my product?

1. What makes ZeroEntropy different from traditional search engines?

2. Does ZeroEntropy handle PDF parsing and chunking?

3. How does ZeroEntropy process the data I send? Can you deploy on premise?

4. Is there a free trial?

5. What is the query latency?

6. What kind of support is offered?

7. Is it easy to integrate with my product?

1. What makes ZeroEntropy different from traditional search engines?

2. Does ZeroEntropy handle PDF parsing and chunking?

3. How does ZeroEntropy process the data I send? Can you deploy on premise?

4. Is there a free trial?

5. What is the query latency?

6. What kind of support is offered?

7. Is it easy to integrate with my product?

Get started with

Our retrieval engine runs autonomously with the

accuracy of a human-curated system.

Our retrieval engine runs autonomously with the

accuracy of a human-curated system.

Our retrieval engine runs autonomously with the accuracy of a human-curated system.

Start Now

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