Search like you mean it
Use Cases
What can you do with vector search?
Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval.
Semantic text search
Deduplication
Recommendations
Multi-modal search
Image search
Audio search
Model training
Data labeling
Question answering
Bot/threat detection
Fraud detection
Anomaly detection
"As we build more sophisticated recommendation systems, we need to search through increasingly large sets of vectors. We'd prefer not to manage a vector database ourselves. Pinecone made it very easy to go from zero to one."
Why Pinecone
Fast, fresh, and filtered vector search.
Fast
Ultra-low query latency, even with billions of items. Give users a great experience.
Fresh
Live index updates when you add, edit, or delete data. Your data is ready right away.
Filtered
Combine vector search with metadata filters for more relevant and faster results.
Managed Vector Database
Fully managed,production-ready
Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely.
Easy to use
Get started on the free plan with an easy-to-use API or the Python client.
Scalable
Scale from zero to billions of items, with no downtime and minimal latency impact.
Pay for what you use
Start free, then pay only for what you use with usage-based pricing.
No ops overhead
No need to maintain infrastructure, monitor services, or troubleshoot algorithms.
Reliable
Choose a cloud provider and region — we'll take care of uptime, consistency, and the rest.
Secure
Pinecone is SOC 2 Type II certified, GDPR-ready, and built to keep data secure.
What will you build?
Upgrade your search or recommendation systems with just a few lines of code, or contact us for help.