Emma

Summary:

  • ChatterDocs stores user data using vectorization in Supabase with row-level security.
  • The chatbot prevents prompt hacking and uses OpenAI's Chat-GPT API for natural language processing.

Key terms:

  • Vectorization: A process that allows AI to search through content for relevant answers based on the questions asked.
  • Supabase: A platform where data is stored with row-level security.
  • Prompt hacking: Exploiting a chatbot's response generation process to obtain undesired or inappropriate answers.
  • Chat-GPT API: OpenAI's natural language processing model used by ChatterDocs for understanding and responding to user queries.
  • Row-level security: A security measure that restricts access to data based on user permissions.

Tags:

ChatGPT Research OpenAI Tools GPT-3 AI chatbot AI models Chatbot Integration Notion