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⭐️ Free Course: NLP for Semantic Search


SEARCH LIKE YOU MEAN IT

Pinecone is a fully managed vector database that makes it easy to add semantic
search to production applications. It combines vector search libraries,
capabilities such as filtering, and distributed infrastructure to provide high
performance and reliability at any scale.
Start for Free or ask us a question



USE CASES


WHAT CAN YOU DO WITH VECTOR SEARCH?

Machine Learning teams combine vector embeddings and vector search to create
better applications that impact business results.

SEMANTIC SEARCH

UNSTRUCTURED DATA SEARCH

DEDUPLICATION AND RECORD MATCHING

RECOMMENDATIONS AND RANKING

DETECTION AND CLASSIFICATION


WHY PINECONE


ADD VECTOR SEARCH TO PRODUCTION APPLICATIONS IN LESS TIME THAN IT TAKES TO TRAIN
A MODEL.

PRODUCTION-READY

GO TO PRODUCTION WITH A FEW LINES OF CODE, WITHOUT BREAKING A SWEAT OR SLOWING
DOWN

 * Deploy and start using the service with a few lines of code. The REST API,
   clients (Python, Java, Go), and web console make it easy and quick to
   integrate into production applications.
 * Approximate Nearest Neighbor (ANN) search with filtering, live index updates,
   namespacing, string IDs, batch queries, vector fetch operations, and more.



SCALE AND PERFORMANCE

SEARCH THROUGH BILLIONS OF VECTORS IN TENS OF MILLISECONDS.

 * Automatic scaling with data shards and replicas, eventual consistency, and
   data persistence on distributed infrastructure.
 * Sub-100ms query latency and high recall rates at scale, even with billions of
   vectors and tens of thousands of queries per second.
 * Maximum throughput (QPS) increases linearly with added replicas, without
   limits.
 * Hybrid in-memory/on-disk storage is up to 10x more cost-effective for large
   data volumes compared to in-memory databases.



FULLY MANAGED

WE OBSESS OVER OPERATIONS AND SECURITY SO YOU DON'T HAVE TO.

 * Just create an account and we'll manage the infrastructure with high
   availability, geo-replication, and 24/7 operational support.
 * Pinecone runs on secure AWS or GCP environments in multiple regions, with
   dedicated deployments available. Your data is secured in isolated containers
   and encrypted in transit.




PRODUCT


DESIGNED FOR SPEED,
SCALE, AND EASE OF USE.

Download datasheet
 1.  Managed Service Launch vector similarity search services on-demand. Each
     service runs on distributed cloud infrastructure, fully managed by
     Pinecone.
 2.  
 3.  Vector Database Load vector embeddings and metadata from anywhere. Full
     CRUD operations with live index updates and hybrid in-memory/disk storage.
 4.  
 5.  Vector Search Index Find nearest neighbors to any vector embedding, with
     optional filters, in <100ms with >95% recall.
 6.  
 7.  Orchestration Scalability, fault tolerance, and high availability for
     billions of vectors, with Kafka and Kubernetes.
 8.  
 9.  Distributed Infrastructure Choose between multi-tenant or dedicated
     environments in AWS or GCP.
 10. 


CUSTOMER SUCCESS


ONE OF THE WORLD'S LARGEST SOCIAL MEDIA PLATFORMS INCREASED USER ENAGEMENT WITH
PINECONE

Content recommendation engine powered by Pinecone vector search.

1 BILLION+

queries served

3,400

queries per second

5MS

search latency (p99)

99.9%

uptime


WHAT WILL YOU BUILD?

Upgrade your search or recommendation systems with just a few lines of code, or
contact us for help.

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