The Vector Database For Machine Learning

Pinecone is the vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable. Use simple APIs with zero maintenance.

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Build vector-based applications that are accurate, fast, and scalable.

No more compromising between accuracy and speed.

Get more accurate results for vector-based queries, such as nearest-neighbor and max-dot-product search, compared to open-source libraries. No parameter tuning needed.

Scale to billions of high-dimensional vectors and keep latencies low for queries, updates, and embeddings with horizontal container distribution.

Connect to any data source, add custom embedding models, or choose from built-in transformers. Tensorflow, PyTorch, Scikit-learn, and more are supported.

Use simple APIs with zero maintenance.

No more building and maintaining complex infrastructure for vector-based applications.

Get started in 10 minutes, for free, with a lightweight client and an API key.

Use the API to configure pre- and post-processing, start the service, and add, update, and query the live service from anywhere.

Operate handsfree with a fully managed enterprise-grade service, autoscaling, observability, security, SLAs, and 24/7 support.

Product Overview

Pinecone is a managed database for working with vectors.

It provides the infrastructure for machine-learning applications that need to search and rank results based on similarity, such as recommendations, personalization, image and semantic search, and more.

Product overview →

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

What will you build?

Get started or contact us for a customized demo.

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