Docker and OpenAI Technologies in the Application

## Explore the technologies used and their role ### Docker and Docker Compose The application uses Docker to run the application in containers, providing a consistent and isolated environment for running it. This means the application will operate as intended within its Docker containers, regardless of the underlying system differences. To learn more about Docker, see the [Getting started overview](/get-started/introduction/_index.md). Docker Compose is a tool for defining and running multi-container applications. Compose makes it easy to run this application with a single command, `docker compose up`. For more details, see the [Compose overview](/manuals/compose/_index.md). ### OpenAI API The OpenAI API provides an LLM service that's known for its cutting-edge AI and machine learning technologies. In this application, OpenAI's technology is used to generate transcriptions from audio (using the Whisper model) and to create embeddings for text data, as well as to generate responses to user queries (using GPT and chat completions). For more details, see [openai.com](https://openai.com/product). ### Whisper Whisper is an automatic speech recognition system developed by OpenAI, designed to transcribe spoken language into text. In this application, Whisper is used to transcribe the audio from YouTube videos into text, enabling further processing and analysis of the video content. For more details, see [Introducing Whisper](https://openai.com/research/whisper). ### Embeddings Embeddings are numerical representations of text or other data types, which capture their meaning in a way that can be processed by machine learning algorithms. In this application, embeddings are used to convert video transcriptions into a vector format that can be queried and analyzed for relevance to user input, facilitating efficient search and response generation in the application. For more details, see OpenAI's

This section details the technologies used in the application, including Docker and Docker Compose for containerization and multi-container management, respectively. The OpenAI API, known for AI and machine learning technologies, generates transcriptions from audio using the Whisper model, creates text data embeddings, and provides responses to user queries via GPT and chat completions. Whisper is employed for automatic speech recognition, transcribing audio from YouTube videos into text. Embeddings convert video transcriptions into a vector format, enabling efficient search and response generation by capturing the meaning of the text for machine learning algorithms.