How do I choose the right vector embeddings for my use case?
The choice of vector embeddings depends on your specific application. For text-based applications, embeddings like BERT or GPT can be effective. For images, CNN-based embeddings might be better. It’s crucial to experiment with different embeddings to find the one that offers the best performance for your needs.
Access Controls: Never share your Pinecone API key with any unauthorized users. API keys grant full access to a Pinecone project and can be used to read, write, edit, and delete data and vectors. If your API key is exposed, delete the key and generate a new one in the console at your earliest opportunity. You can do so in the API Keys section of any Project page.
Monitoring: Regularly monitor your Pinecone instances for any unusual activity. Monitoring is available via metrics in the Pinecone console as well via Prometheus endpoints. Please see more in our documentation on monitoring.