> For the complete documentation index, see [llms.txt](https://docs-conversational-ai.syntphony.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva.md).

# Using eva

- [Overview](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/overview.md)
- [Virtual Agents](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/overview/virtual-agents.md)
- [Main Concepts of eva](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/overview/basic-concepts.md): A summary of eva's features is ranked in order of importance.
- [Glossary](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/overview/glossary.md): Getting familiar with eva terms
- [Developing virtual agents](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot.md): Welcome to Dialog Manager: eva's main tool, where you will find countless resources to develop your dialogs  and create your knowledge base.
- [Quick Start with eva](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/build-your-first-bot.md)
- [Dialog Flows](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-flows.md)
- [Dialog Cells](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-cells.md)
- [Intent Cells](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-cells/intent-cells.md)
- [Entity Cells](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-cells/entity-cells.md)
- [Answer Cells](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-cells/answer-cells.md): Description of how to use answer cells to respond to virtual assistant users.
- [Service Cells](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-cells/service-cells.md)
- [Input Cells](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-cells/input-cells.md)
- [Jump Cells](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-cells/jump-cells.md)
- [End Cells](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/dialog-cells/end-cells.md)
- [Training task](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/training-task.md)
- [Create and manage users](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/develop-your-bot/create-and-manage-users.md)
- [Channels](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/add-a-channel.md): A channel connects communication applications to a virtual agent. It's where the interaction with the user will take place (WhatsApp, Web, Facebook, etc.). Learn how to connect them.
- [Testing Virtual Agents](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/testing-virtual-agents.md): eva offers tools to test your virtual agent and verify the assertiveness level
- [Test a virtual agent](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/testing-virtual-agents/test-a-virtual-agent.md)
- [Automated Test](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/testing-virtual-agents/automated-test.md)
- [Natural Language](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/natural-language.md)
- [eva NLP](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/natural-language/eva-nlp.md): eva NLP description and main features
- [Training with eva NLP](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/natural-language/train-your-bot.md): After building a flow, you have to make sure that they are connected to the right answers. Here, you will learn the best way to do this
- [Training with eva Automated Learning](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/natural-language/training-with-eva-automated-learning.md): A software to ease up
- [Using other NLP engines](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/natural-language/using-other-nlp-engines.md)
- [Analytics](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/analytics.md): eva allows you to connect to dashboard tools to analyze your virtual agent's performance
- [External analytics platforms](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/analytics/external-analytics-platforms.md)
- [Experience](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/experience.md)
- [Context Management](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/experience/base-architecture.md): eva's platform is based on a microservices architecture and every component has its Rest APIs. A basic understanding of this architecture will help you understand the APIs
- [Advanced Options](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/advanced-options.md): Enhance your virtual agent with advanced eva features
- [Parameters](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/advanced-options/parameters.md): With eva, you can create and manage variables in responses through the parameters
- [How Tos](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/how-tos.md): In this chapter, we will give you tips on how to best use eva
- [Videos](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/how-tos/videos.md): Discover our video platform and find out some use cases, as well as practical tips on how to use eva solution


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
