Today, I want to showcase a plugin that I’m working on called ChatGPT. ChatGPT is a popular chatbot model developed by OpenAI. But how do you add contacts to ChatGPT? That’s where text embeddings come in.
Text embeddings are a way to represent knowledge or information in a vector database. In this case, I’m using Pinecone as my vector database. By storing domain knowledge in the vector database, you can use that knowledge in your chatbot. When someone asks a question, the chatbot can search the vector database and provide appropriate answers based on the stored information.
To demonstrate this, I’m building an application with Strapi, a framework that allows you to quickly build APIs with an admin panel. I’m creating a plugin for Strapi that integrates ChatGPT and Pinecone. This plugin allows me to add contacts to my chatbot’s knowledge base.
In the plugin, I have a settings section where I can enter my OpenAI API key and Pinecone API key. I can also add contacts to the knowledge base by creating text embeddings. Each contact is represented by a vector in the database.
Once I have added contacts to the knowledge base, my chatbot can provide more specific answers. For example, if someone asks who Pierre is, the chatbot will retrieve the information about Pierre from the vector database and provide a tailored answer. Similarly, I can add contacts like Jim and Aurelian to the knowledge base and get specific answers about them.
This plugin allows me to extend my Strapi application in a flexible way. Instead of building the entire API from scratch, I can leverage Strapi’s capabilities and focus on creating useful features quickly.
In conclusion, by using text embeddings and a vector database like Pinecone, I can enhance my chatbot’s knowledge base and provide more accurate and relevant answers. This plugin, built with Strapi, allows me to easily add contacts to my chatbot and create a more personalized user experience. If you’re interested in learning more about how I built this plugin, let me know. I’d be happy to share more details.
