The most popular vector database — now serverless
Build remarkable GenAI applications fast, with lower cost, better performance, and greater ease of use at any scale.
Fast, cost-efficient performance at any scale
Bring AI products to market faster
Start building in minutes. Forget about configuring or scaling your index.
SDKs
Growing number of SDKs including Python and Node make working with Pinecone a breeze for developers.
Streamlined API
Manage control and data plane requests across environments with a single API.
Any AI Model
Compatible with embeddings from any AI model or LLM, including those from OpenAI, Anthropic, Cohere, Hugging Face, PaLM, etc.
Integrations
Supercharge your AI stack with integrations for popular data sources, frameworks, models, and more.
Get just the results you want
Always fresh, relevant results as your data changes and grows.
Hybrid search
Combine vector search with keyword boosting for the best of both worlds (hybrid search).
Namespaces
Partition your workload with namespaces to minimize latency and compute needed for query.
Metadata Filtering
Combine vector search with familiar metadata filters to get just the results you want.
Live index updates
As your data changes, the Pinecone index is updated in realtime to provide the freshest results.
Pinecone serverless wasn't just a cost-cutting move for us; it was a strategic shift towards a more efficient, scalable, and resource-effective solution.
Jacob Eckel
VP, R&D Division Manager, Gong
Read Customer Story
Notion AI products needed to support RAG over billions of documents while meeting strict performance, cost, and operational requirements. This simply wouldn’t be possible without Pinecone.
Akshay Kothari
Co-Founder, Notion
Customer stories
The vector database reimagined
Build your next great GenAI apps with our industry-first architecture.
Efficient query-planning
Built-in logic to scan the optimal number of semantically similar clusters needed for query, not the entire index.
Durable writes
Write requests are committed to a write-ahead-log in blob storage for guaranteed durability and strong ordering.
Adaptive clustering
Indexes automatically adapt as data grows to maintain low-latency and O(s) freshness.
Multi-tenant layer
Built to efficiently manage thousands of tenants without performance degradation.
Intelligent retrieval
Only the most used clusters are cached in memory instead of loading from blob storage for quick, memory efficient retrieval.
Reimagining the vector database to enable knowledgeable AI
Learn more about the architecture and performance in our technical deep dive.
Ready to build with your favorite tools
Learn how to build with Pinecone and the GenAI stack.
Vercel
Pulumi
Langchain
Cohere
Confluent
Anyscale
Secure by design
Pinecone is GDPR-ready, SOC2 Type II certified, HIPAA-compliant. Easily control and manage access within the console with organizations and SSO. Data is encrypted at rest and in transit.
Integrations to connect to your AI stack
Use Pinecone with your favorite cloud provider, data sources, models, frameworks, and more.