by Carol Lee

Building Your First Conversational AI Agent

MarketingMay 7, 2025
Building Your First Conversational AI Agent

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Overview of Conversational AI

In this guide, you will build a basic chatbot from scratch.

Prerequisites

  • Python 3.8+
  • Basic NLP knowledge

Environment Setup

Prepare your development environment.

Installing Rasa

bash\npip install rasa

Project Structure

Explain folder layout and important files.

Designing the Dialogue

Plan intents, entities, and responses.

Intents

Define user goals such as greet and ask_weather.

Entities\nSpecify parameters like `location` or `date`.

Implementing the Agent

Write the code for NLU and response selection.

NLU Training Data

Show sample nlu.yml snippets.

Response Templates

Configure replies in domain.yml.

Testing and Deployment

Evaluate your chatbot and deploy.

Interactive Testing

Use Rasa’s interactive mode to refine dialogues.

Deployment Options

Containerize with Docker or host on a cloud service.

Carol Lee

About Carol Lee

Productivity Coach

Building Your First Conversational AI Agent - Ruh AI Blog