An embedding-powered movie recommendation algorithm using Nomic Atlas.
You need to create a virtual env and install the packages listed in requirements.txt. You can then run Jupyter Notebooks in VS Code.
Follow these steps: How to Work with Python Virtual Environments, Jupyter Notebooks and VS Code.
You need to create a .env file with your OPENAI_API_KEY.
You also need to create an account on Nomic and authenticate by running nomic login and nomic login [token] in your terminal.
- getting our movie data.
- getting our movie data ready.
- generating embeddings for 50 movies.
- visualizing our embeddings with Atlas.
- recommending movies using our embeddings.
Based on Mastering OpenAI Python APIs: Unleash the Power of GPT4 by Colt Steele (2023).