RNet AI
  • INTRODUCTION
    • About Rnet
    • Quickstart
    • Core Concepts
      • List of Model Providers
  • GETTING STARTED
    • Model
      • Add New Provider
      • Predefined Model Integration
      • Custom Model Integration
      • Interfaces
      • Schema
    • Application Orchestration
      • Overview
      • Interactive Chat Application
      • Agent
      • App Kits
    • Workflow
      • Core Concepts
      • Node Overview
        • Start
        • Question Classifier
        • Knowledge Retrieval
        • Variable Aggregator
        • LLM
        • Direct Reply
        • IF/ELSE
        • HTTP Request
        • End
    • Knowledge Base
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On this page
  • Applicable scenarios
  • Setting up an Interactive chat application with Rnet
  • Step 1 Create an application
  • Step 2: Compose the Application
  1. GETTING STARTED
  2. Application Orchestration

Interactive Chat Application

PreviousOverviewNextAgent

Last updated 7 months ago

Interactive Chat Assistant operate in a "one-question-one-answer" mode, where the interaction is structured around a series of exchanges between the user and the AI.Think of a Interactive Chat Assistant as a friendly, knowledgeable shop assistant in a store. Just as the assistant would help you find the products you need, answer your questions, and even make recommendations based on your preferences.

Applicable scenarios

Interactive chat application can be used in fields such as Customer Service, Virtual Personal Assistant, Online Education, Healthcare, Financial Services, etc. These applications can help organization improve work efficiency, reduce labor costs, and provide a better user experience.

Setting up an Interactive chat application with Rnet

Interactive chat application supports: prompts, variables, context, opening remarks, and suggestions for the next question.

Here, We will guide you through the overall process of building a simple Interactive Chat Application that specializes in love consultation named Cupid's Guide.

Step 1 Create an application

Click the "Create Application" button on the homepage to create an application. Fill in the application name, and select "Chat App" as the application type.

Step 2: Compose the Application

After the application successfully created, it will automatically redirect to the Orchestrate page.

2.1 Fill in Prompts

Prompt phrases are used to guide AI in providing professional responses, making the replies more precise. You can utilize the built-in prompt generator to craft suitable prompts. Prompts support the insertion of form variables, such as {{input}}. The values in the prompt variables will be replaced with the values filled in by the user.

To add the opening dialogue, click the "Add Feature" button in the upper left corner, and enable the "Conversation remarkers" feature:

And then edit the opening remarks:

2.2 Adding Context

If an application wants to generate content based on private contextual conversations, it can use our knowledge feature. Click the "Add" button in the context to add a knowledge base.

2.3 Debugging

Enter user inputs on the right side and check the respond content.

If the results are not satisfactory, you can adjust the prompts and model parameters. Click on the model name in the upper right corner to set the parameters of the model:

2.4 Publish App

After debugging your application, click the "Publish" button in the top right corner to create a standalone AI application. In addition to experiencing the application via a public URL, you can also perform secondary development based on APIs, embed it into websites, and more. For details, please refer to Publishing.

Create Application