Integrating DeepLearning4j + MongoDB

DeepLearning4j (DL4J) is an open-source, distributed deep learning library written for the Java and JVM ecosystem. It is designed to create, train, and deploy deep learning models across various domains, including computer vision, natural language processing (NLP), and more. DeepLearning4j supports multiple types of neural networks, such as convolutional networks (CNNs), recurrent networks (RNNs), and fully connected networks, and is optimized for running on both CPUs and GPUs.

This will be a simple app to allow you to upload a model, and query against embeddings stored in MongoDB
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✅ Try MongoDB 8.0 → https://www.mongodb.com/products/updates/version-release
✅ Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register
✅ Written tutorial - https://www.mongodb.com/developer/languages/java/ai-powered-playlist-generator/
✅ GitHub repository → https://github.com/mongodb-developer/DeepMongoDB
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📚 GloVe: Global Vectors for Word Representation - https://nlp.stanford.edu/projects/glove/
📚 Kaggle: Genius Song Lyrics - https://www.kaggle.com/datasets/carlosgdcj/genius-song-lyrics-with-language-information
📚 Deeplearning4j - https://deeplearning4j.konduit.ai/

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