Show HN: Music Audio Search Engine Using OpenAI's Embeddings on GPT Descriptions
muzic-sage.vercel.app
I used the Freesound.org API to upload over 3,000 grooves to MongoDB, and combined all the relevant data such as tags, title, description, BPM, etc. into OpenAI's Text-Davinci to generate a unique description of each sound. I then embedded these descriptions using the Ada Embeddings Model and inserted them into Pinecone DB vector database, making it easier to find the perfect sound for your next project.
This search engine is designed to save you time and make your music production process more efficient. Give it a try and see the difference it makes in your workflow. I would also appreciate any feedback on how I can improve the website and make it even more user-friendly.
EDIT: - Google Sign In removed - 25 total sounds now (only 5 before)