The Vector Database For Machine Learning
Pinecone is the vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable. Use simple APIs with zero maintenance.Get an Early Access API Key →
Build vector-based applications that are accurate, fast, and scalable.
No more compromising between accuracy and speed.
Get more accurate results for vector-based queries, such as nearest-neighbor and max-dot-product search, compared to open-source libraries. No parameter tuning needed.
Scale to billions of high-dimensional vectors and keep latencies low for queries, updates, and embeddings with horizontal container distribution.
Connect to any data source, add custom embedding models, or choose from built-in transformers. Tensorflow, PyTorch, Scikit-learn, and more are supported.
Use simple APIs with zero maintenance.
No more building and maintaining complex infrastructure for vector-based applications.
Get started in 10 minutes, for free, with a lightweight client and an API key.
Use the API to configure pre- and post-processing, start the service, and add, update, and query the live service from anywhere.
Operate handsfree with a fully managed enterprise-grade service, autoscaling, observability, security, SLAs, and 24/7 support.
Pinecone is a managed database for working with vectors.
It provides the infrastructure for machine-learning applications that need to search and rank results based on similarity, such as recommendations, personalization, image and semantic search, and more.