> ## Documentation Index
> Fetch the complete documentation index at: https://docs.zeroentropy.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Welcome to the ZeroEntropy documentation.

## Introduction

ZeroEntropy develops state-of-the-art AI models for information retrieval — including **rerankers**, **embedders**, and **end-to-end retrieval pipelines**.
Our technology powers intelligent search systems that can index, search, and retrieve documents with exceptional precision.

## What is Agentic Retrieval?

**Agentic Retrieval** refers to a retrieval system that actively determines the optimal strategy to find information based on the context of a query.
Unlike traditional systems, it **mimics human reasoning** — selecting and combining retrieval techniques dynamically, and improving through feedback and learning over time.

## Key Features

* **Model Access:** Combine our cutting-edge `zerank-2` reranker and `zembed-1` embeddings to supercharge the accuracy of any search pipeline.
* **Document Indexing:** Seamlessly add and manage documents in a fast, secure, and scalable environment.
* **Advanced Querying:** Retrieve the most relevant documents, pages, or snippets with fine-grained control.
* **Security:** All API calls are encrypted, with optional on-premises deployment within your own VPC.

## Getting Started

To begin using the ZeroEntropy API:

1. **Get Your API Key** — Visit the [dashboard](https://dashboard.zeroentropy.dev) to obtain your API key.
2. **Set Up Your Environment** — Follow our [Quickstart Guide](/quickstart) to send your first query.
3. **Explore the API** — See the [API Reference](/api-reference/) for detailed endpoints and usage examples.

Need help? Reach out at [founders@zeroentropy.dev](mailto:founders@zeroentropy.dev) or join our [Slack community](https://go.zeroentropy.dev/slack) for direct support.