Current Functionalities:

• Embeds book descriptions from Kaggle Dataset
• Groups books vectors into hash buckets using locality sensitive hashing (with multiple universes)
• Uses cosine similarity to get closest books descriptions to chosen book
• Book search function with txt.ai

Future:

• Comment code and make more legible
• See if it is possible to iterate through only a few universes and get the same coverage of nearest neighbors