Extracurricular
Having built a solid foundation in working with embeddings, you’re now ready to explore more advanced and creative applications. Let these exercises spark new ideas for your own projects.
- Experiment with different vector databases: While Pinecone is a powerful vector database, there are several others to explore, such as FAISS, Annoy, Milvus, and Neo4j’s embeddings framework. Each database has its own strengths and use cases. Try experimenting with different databases to understand their performance characteristics and how they handle large-scale vector searches.
- Explore different distance metrics: Cosine similarity is commonly used for comparing embeddings, but other distance metrics such as Euclidean distance and dot-product similarity can also be useful depending on the application. Experiment with different metrics to see how they affect the results and understand which metric is best suited for specific types of data.
- Understand...
