Long-term Memory for AI
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 search
- Product search
- Multi-modal search
- Text generation
- Image generation
- Anomaly Detection
- Fraud Detection
- Bot/threat detection
- Identity verification
- Feed ranking
- Ad targeting
- Candidate selection
Analytics & ML
- Data labeling
- Model training
- Molecular search
- Generative AI
- Pattern matching
Fast, fresh, and filtered vector search.
Ultra-low query latency, even with billions of items. Give users a great experience.
Live index updates when you add, edit, or delete data. Your data is ready right away.
Combine vector search with metadata filters for more relevant and faster results.
Supercharge your AI stack
Managed Vector Database
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.
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.
Choose a cloud provider and region — we'll take care of uptime, consistency, and the rest.
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.