🤖Building a Q&A chatbot API with custom data
🔍Using embeddings to compare strings and calculate relevancy
🚀Scaling the API with Super Base Edge Functions
🔗Connecting to the OpenAI API to enhance chatbot responses
💡Understanding the process of creating embeddings
What is Super Base?
—Super Base is a platform that allows you to build scalable APIs with built-in real-time functionality, making it ideal for chatbot development.
What are embeddings?
—Embeddings are unique vectors that represent the meaning and relevance of text, allowing comparison and calculation of similarity.
How can I scale my chatbot API?
—You can scale your chatbot API using Super Base Edge Functions, which provide infinite scalability and flexibility.
How can I enhance chatbot responses?
—You can enhance chatbot responses by connecting to external APIs like OpenAI, which can provide additional information and insights.
What is the process of creating embeddings?
—The process involves converting text into numerical vectors that represent the meaning and relevancy of the text, allowing for comparison and calculation of similarity.
00:00Introduction and overview of the project to build a Q&A chatbot API with custom data using Super Base, OpenAI, and embeddings.
06:41Explanation of the Super Base and its role in creating scalable APIs with real-time functionality, making it suitable for chatbot development.
09:18Introduction to embeddings and their role in comparing strings and calculating relevancy.
14:30Demonstration of scaling the chatbot API using Super Base Edge Functions, which provide infinite scalability and flexibility.
17:04Integration of the OpenAI API to enhance chatbot responses by providing additional information and insights.
22:45Overview of the process of creating embeddings, which involves converting text into numerical vectors that represent the meaning and relevancy of the text.
