Vector search just got up to 10x faster, easier to set up, and vertically scalable

Pinecone has announced significant updates to its vector database platform, enhancing its capabilities for developers to implement vector search in their cloud applications more efficiently and cost-effectively. The new features include vertical scaling, which allows for index capacity expansion without downtime, and collections that provide centralized storage and experimentation for vector embeddings and metadata. The introduction of p2 pods offers improved performance, achieving up to 10x faster search speeds for high-throughput applications, while also supporting filtering and live index updates. Additionally, performance improvements for s1 and p1 pods result in 50% lower latency and higher throughput, with the new pricing structure going into effect for new users starting September 1, 2022. Existing users will retain their current rates, and the Starter plan now includes 5x more storage capacity with s1 pods, enabling users to explore the benefits of vector search more thoroughly.