The First Database for Vector-Based Applications

Pinecone is a managed database for working with vectors in production. Transform and index billions of high dimensional vectors. Search and rank in milliseconds. Work from anywhere, like a Jupyter notebook. Go to production in days. No maintenance needed, ever.

Customer Applications
Personalization Recommendation Image/Semantic Search Anomaly Detection Similarity Search Data Fusion ...
Pinecone Vector Database
Vector Index
Vector Index

Answers queries, like nearest-neighbor search, faster and more accurately than any open-source library without parameter tuning.

Provides blazing-fast indexing and efficient storage for high-dimensional vectors.

Container Distribution
Container Distribution

Ensures exceptional performance regardless of scale with dynamic load balancing, replication, name-spacing, sharding, and more.

Supports custom model- or container-based transformations and ranking.

API
API

Enables updating and querying vector indexes from anywhere, including Jupyter notebooks.

Provides programmatic creation and management of artifacts such as models, indexes, and services.

Managed Operations
Managed Operations

Provides hands-free resource allocation, observability, SLA guarantees, security, and more.

Supports critical loads with built-in high availability and 24/7 operational on-call.

1×

Real-time indexing speed compared to open-source libraries.

<999ms

Latency for vector retrieval for over a billion vectors.

0%

Practically perfect recall, precision, and relevance.

API-First Experience

Pinecone is a fully managed service, so there is no need to configure open-source software or set up infrastructure.

Customize

Configure and launch services with custom models, transformations, and rankers.

Load

Add or update data in batches or streams. Data is turned into vectors and the index is updated in real time.

Query

Query and get results. Find similar or top-ranking items in milliseconds.

Observe

Monitor and track deployments for operational health.

Compare

No more compromising between accuracy and speed, or building and maintaining complex infrastructure.

Do-It-Yourself illustration
vs Do-It-Yourself

With Pinecone there is no need to build and manage complex infrastructure to run open-source nearest-neighbor algorithms such as Annoy, Faiss, and NMSLib in production.

Legacy Search illustration
vs Legacy Search

Sidestep legacy index and search solutions that require extensive workarounds to support high-dimensional vector search and model based transformations and ranking.

Black-Box Solutions illustration
vs Black-Box Solutions

Pinecone replaces black-box personalization products by letting you build better inhouse solutions using your own data and models.

Editions

The Teams edition comes with cost effective pay-as-you-go pricing, quick and easy onboarding, and hands-free operations. Get started →

The Enterprise edition comes with additional operational control, tighter security and governance, guaranteed performance and resilience, and 24/7 on-call operational support. Request demo →

TeamsEnterprise
Vector Index
Real Time Indexing
Items are searchable milliseconds after updates
Teams
Enterprise
Rich Vector Queries
Cosine Similarity, Max Dot Product, and Euclidean distance
Teams
Enterprise
Autotuning Indexing Algorithm
No algorithm selection or parameter tuning needed
Teams
Enterprise
Namespacing
Group IDs into namespaces and search only within specific namespaces
Teams
Enterprise
Metadata Store
Attach arbitrary metadata to vectors and retrieve with query results
Teams
Enterprise
Fast Exact Search
For extremely accuracy-sensitive applications
Teams
Enterprise
Container Distribution
Realtime Pipelines
Specify arbitrary preprocessing, transformations, ranking, and postprocessing
Teams
Enterprise
Data Sharding
For reduced latency
Teams
Enterprise
Replication
For increased throughput and resilience
Teams
Enterprise
Auto Node Recovery
For high availability
Teams
Enterprise
Replica Autoscaling
For handling spiky query throughput
Teams
Enterprise
Zero-Downtime Revisions
Switch production traffic between services seamlessly.
Teams
Enterprise
API - Clients
Model Hub
For ingress pipelines and ranking with support for TensorFlow, PyTorch, Scikit, or custom containers
Teams
Enterprise
Python Client
Intuitive interface available from everywhere including Jupyter notebooks
Teams
Enterprise
HTTPs/grpc Client
Access to lowest-level, highest-performance interfaces
Teams
Enterprise
Java Client
For easy integration in JVM-based systems
Teams
Enterprise
Managed Operations
Resource provisioning
No need to manage hardware resources
Teams
Enterprise
Observability
Real time monitoring, dashboards, logging, and alerting
Teams
Enterprise
Optional GCP Deployment
Teams
Enterprise
Single Tenant Environment
With VPC peering for further data and network isolation
Teams
Enterprise
Geo-Replication
Disaster recovery across availability zones
Teams
Enterprise
Role-Based Access Control (RBAC)
Admins can manage permissions per user and per project
Teams
Enterprise
Operational Support
24/7 oncall support
Teams
Enterprise
Get StartedRequest DemoGet Started Request Demo

What will you build?

Get started or contact us for a customized demo.

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