Research

How we outperform standard retrieval.

Frustrated by latency and accuracy of your retrieval layer? ZeroEntropy provides an API to deliver fast, human-like, and accurate search for your AI Agent or RAG application.

ZeroEntropy consistently outperforms standard retrieval techniques based on keyword and semantic search. Our approach involves classifying and routing each query to a specialized retrieval system for optimal accuracy.

Frustrated by latency and accuracy of your retrieval layer? ZeroEntropy provides an API to deliver fast, human-like, and accurate search for your AI Agent or RAG application.

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Our Approach

At ZeroEntropy, we go beyond traditional semantic search by identifying the intent behind each query and dynamically mapping it to the most suitable retrieval system.

Our approach centers on building a context-aware, self-improving agent that learns from past queries, tailors results to the user, and seamlessly integrates different retrieval techniques.

By remembering user interactions and adapting over time, our system delivers a personalized and efficient search experience, setting the foundation for AI that truly feels like AGI.

Frustrated by latency and accuracy of your retrieval layer? ZeroEntropy provides an API to deliver fast, human-like, and accurate search for your AI Agent or RAG application.

Get started with

Our retrieval engine runs autonomously with the

accuracy of a human-curated system.

Start Now

View Docs

GitHub

Discord

Slack

Enterprise

Get started with

Our retrieval engine runs autonomously with the

accuracy of a human-curated system.

Start Now

View Docs

GitHub

Discord

Slack

Enterprise

Get started with

Our retrieval engine runs autonomously with the

accuracy of a human-curated system.

Start Now

View Docs

GitHub

Discord

Slack

Enterprise