Long-term Memory for AI

The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

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.

Search

Semantic search
Product search
Multi-modal search
Question-Answering

Generation

Chatbots
Text generation
Image generation

Security

Anomaly Detection
Fraud Detection
Bot/threat detection
Identity verification

Personalization

Recommendations
Feed ranking
Ad targeting
Candidate selection

Analytics & ML

Data labeling
Model training
Molecular search
Generative AI

Data Management

Pattern matching
Deduplication
Grouping
Tagging

"Pinecone made it fast and easy to take vector search from research to production, without DevOps. Thanks to their performance and scalability we can provide accurate, reliable, and real-time threat detection to our customers."

Oded K.

R&D Group Lead

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.

Integrations

Supercharge your AI stack

🦜🔗LangChain

GPT Index

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.