Building a WhatsApp-based Tech Support System with Strapi, LangChain.js, and OpenAI

[FINCH285]

What is your article idea?

The article aims to provide a comprehensive guide on building a personalized tech support system that leverages the power of Strapi, LangChain.js, and GPT-3.5 Turbo, with a WhatsApp interface for user interaction. The system will enable users to receive personalized troubleshooting assistance for their technical issues through a familiar and convenient WhatsApp chat interface.

Here is the proposed outline:

1. Introduction

   • The need for personalized tech support and troubleshooting guides
   • Overview of the proposed WhatsApp-based solution using Strapi, LangChain.js, and GPT-3.5 Turbo

2. Setting up the Strapi Content Management System (CMS)

   • Installing Strapi
   • Configuring the Strapi CMS
   • Creating a collection type for troubleshooting guides

3. Implementing the Retrieval-Augmented Generation (RAG) System

   • Introduction to LangChain.js and RAG
   • Integrating LangChain.js with the Strapi CMS
   • Retrieving relevant troubleshooting guides using the RAG system

4. Integrating GPT-3.5 Turbo

   • Setting up the OpenAI API
   • Using GPT-3.5 Turbo for natural language processing
   • Generating personalized responses based on the retrieved guides

5. Building the WhatsApp Frontend

   • Introduction to the WhatsApp API
   • Setting up the WhatsApp API
   • Integrating the WhatsApp API with the RAG system
   • Handling user inputs and displaying responses on WhatsApp

6. Showcasing Results

   • Show the reader how the full system looks

7. Conclusion

   • Summary of the WhatsApp-based personalized tech support system
   • Future enhancements and improvements

What are the objectives of your article?

1. Demonstrate how to set up and configure Strapi as the Content Management System (CMS) for storing and managing troubleshooting guides.
2. Explain the implementation of a Retrieval-Augmented Generation (RAG) system using LangChain.js to retrieve relevant troubleshooting guides based on user queries.
3. Integrate GPT-3.5 Turbo, a powerful language model, to generate personalized responses by combining the retrieved guides with natural language processing capabilities.
4. Integrate with WhatsApp to provide users with a familiar and convenient interface for interacting with the tech support system.

What is your expertise as a developer or writer?

Advance

What type of post is this?

Tutorial

Terms & Conditions

• I have read the Write for the Community program guidelines.

[FINCH285]

Hi @Theodore-Kelechukwu-Onyejiaku!

What do you think about this article idea?

[Theodore-Kelechukwu-Onyejiaku]

Great outline @FINCH285 ,

Please proceed! Thank you.