Pinecone Vector Database
The foundation for knowledgeable AI
Powering production applications for leading engineering teams
Highly scalable and efficient
Backed by distributed object storage for scalable, highly available serverless indexes.
Fast, accurate performance at any scale
* Performance with MSMarco V2 dataset of 138M embeddings (1536 dimensions)
By leveraging Pinecone’s industry-leading vector database, our enterprise platform team built an AI assistant that accurately and securely searches through millions of our documents to support our multiple orgs across Cisco.
Sujith Joseph
Principal Engineer, Enterprise AI & Search at Cisco
Customer stories
Our choice to work with Pinecone wasn’t just based on technology; it was rooted in their commitment to our success. They listened, understood, and delivered beyond our expectations.
Jacob Eckel
VP, R&D Division Manager at Gong
Read the full story
Get just the results you want
Always fresh, relevant results as your data changes and grows.
Hybrid search
Combine dense and sparse vector retrieval for industry-leading relevance and recall.
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.
The vector database reimagined
Build your next great GenAI apps with our serverless 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 object 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 object 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.
Building with Pinecone
See how thousands of Pinecone customers are building easily scalable, high performance AI-powered applications.