Pinecone builds infrastructure to enable AI applications in the cloud. The company's vector database supports large-scale production deployments of real-time applications such as personalization, semantic text search, image retrieval, data fusion, deduplication, recommendation, and anomaly detection. Using Pinecone's vector database, machine-learning and data infrastructure engineers can dynamically transform and index billions of high-dimensional vectors. They can answer queries like nearest neighbor and max-dot-product search accurately and in milliseconds. Pinecone's database is 100% serverless and API driven, which means customers always have the computing resources they need, when they need them, without having to worry about infrastructure or maintenance.