StrapiGPT plugin for Strapi

OpenAI is an AI research lab known for their work on natural language processing, computer vision, and robotics. This plugin uses an OpenAI API for Text Embedding, and Text generation.

Strapi is a headless CMS that simplifies API development. This plugin uses Strapi to sync data into pinecone db, customize ChatBot UI and much more.

Pinecone is a fast and efficient vector database for AI applications. This plugin uses Pinecone to find similarities and generate text on the basis of that.

Ably is a messaging platform for real-time data delivery. This plugin uses Ably to publish & subscribe the tokens from strapi to ChatBot.

LangChain is a framework for developing applications powered by language models. It allows developers to connect a language model to other sources of data and allow a language model to interact with other systems. This plugin uses LangChain for a conversation like search in the ChatBot.

Checkout AI ChatBot demo at Foodadvisor Demo With StrapiGPT ChatBot. Click on the botton right chat icon and ask about the restaurants in the ChatBot. The demo is based on the Foodadvisor - Strapi Demo.

Overview: Integrate a custom ChatBot in your frontend using StrapiGPT.

With this plugin, you can integrate a custom ChatBot in your frontend by just copy & pasting a script in your frontend. The ChatBot will answer according to your content of strapi in your frontend.

Setting up the plugin is super easy and can be completed within few minutes.

1. Go to the Tab COLLECTION TYPES & Enable the collection types on which you want to integrate search from the plugin UI.
2. Go to the Tab SETTINGS & Enter the credentials for OpenAI, Ably, and Pinecone ( with pinecone index name & environment ).
3. Go to the Tab WIDGET & Configure the ChatBot content from Sub-tab CONTENT & UI from Sub-tab APPEARANCE according to your needs.
4. Go to the Sub-tab SCRIPT of WIDGET tab & Enter your frontend URL & backend URL ( Backend URL must be your strapi URL ).
5. Click on the Update button to save the settings.
6. Click on the Refresh Data button to sync the data from strapi to pinecone vector db for the enabled collection types.
7. Copy & Paste the script in your frontend to add the ChatBot.

Thats it! You can now use ChatBot in your frontend to ask your queries.

✨ Features

1. Easy to use: The plugin is easy to use and can be set up within 10 minutes.
2. Customizable: You can customize the ChatBot UI according to your needs.
3. Open Source: The plugin is open source and can be found on GitHub

🖐 Requirements

1. Node.js version 14 or higher.
2. Strapi version v4.x or higher.

The plugin is designed for Strapi v4.x. It won't work with Strapi v3.x.

⏳ Installation

1. Install the plugin

npm install @thirdrocktechno/strapi-gpt

2. Enable the plugin

Goto <strapi app root>/config/plugins.js Add the following code snippet.

module.exports = ({ env }) => ({
  // ...
  "strapi-gpt": {
    enabled: true,
  },
});

3. Build and start the Admin UI

Afterwards, you would need to build a fresh package that includes the StrapiGPT plugin. For it, please execute the commands below:

npm run build
npm run develop

The StrapiGPT plugin should appear in the Plugins section of the Strapi sidebar after you run the app again.

Now you are ready to integrate StrapiGPT on your Strapi website 🎉

🔧 Configuration

You can easily configure the StrapiGPT plugin in the Strapi admin panel.

• Goto StrapiGPT -> SETTINGS Tab in the plugin UI.
• Enter All the required field values in the SETTINGS tab.
• Click on Update to save the configuration.

📖 Testing the plugin

• Click StrapiGPT plugin in plugin section of the sidebar.
• Enable the collection type on which you want to provide the AI search within the ChatBot.
• Click on the WIDGET tab and configure ChatBot content from the sub-tab CONTENT & UI from the sub-tab APPEARANCE according to your needs.
• Click on Update button to save the changes and then Click on Refresh Data to sync data from strapi to the vectordb ( this will create an embeddings of your content and save it for finding the similarities. )
• Click on the Sub-tab SCRIPT of the same Widget tab and update frontend & backend URL the save config again by clicking on the Update button again.
• Copy the show script and paste it in your frontend to show the ChatBot for integrating an AI ChatBot.

📝 License

MIT License

Copyright © 2023 Third Rock Techkno LLP

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