The vector database to build knowledgeable AI | Pinecone

Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.

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The vector database to build knowledgeable AI | Pinecone

Introduction

What is Pinecone?

Pinecone is a vector database that helps power AI for the world's best companies. It enables users to build knowledgeable AI applications in minutes, at up to 50x lower cost. Pinecone provides a serverless vector database that allows users to deliver remarkable GenAI applications faster and more efficiently.

Features of Pinecone

Pinecone offers several features that make it an ideal choice for building knowledgeable AI applications. These features include:

  • Serverless vector database that allows for seamless scaling
  • Low-latency vector search for search, RAG, recommendation, detection, and other applications
  • Ability to upsert batches of vector embeddings from any model
  • Support for various programming languages, including Python, Node, and Java
  • Integration with popular cloud providers, data sources, models, frameworks, and more
  • Secure and enterprise-ready, with SOC 2 and HIPAA certifications
  • Reliable, with support SLAs and observability
  • Cloud-native, with availability on AWS, Azure, and GCP marketplaces

How to use Pinecone

To get started with Pinecone, users can create an account and their first index in 30 seconds. Then, they can upload a few vector embeddings from any model or a few billion. Pinecone provides a Quickstart Guide that includes code examples in Python, Node, and Java to help users get started quickly.

Pricing of Pinecone

Pinecone offers a pay-as-you-go pricing model that allows users to upgrade and pay as they scale. Users can start building knowledgeable AI applications for free and then upgrade to a paid plan when they're ready to scale.

Helpful Tips for using Pinecone

  • Use Pinecone's serverless vector database to deliver remarkable GenAI applications faster and more efficiently
  • Leverage Pinecone's low-latency vector search for search, RAG, recommendation, detection, and other applications
  • Take advantage of Pinecone's integrations with popular cloud providers, data sources, models, frameworks, and more
  • Use Pinecone's secure and enterprise-ready features to meet security and operational requirements

Frequently Asked Questions about Pinecone

  • What is Pinecone used for? Pinecone is used to build knowledgeable AI applications, including search, RAG, recommendation, detection, and other applications.
  • How does Pinecone work? Pinecone works by providing a serverless vector database that allows users to upsert batches of vector embeddings from any model and perform low-latency vector search.
  • Is Pinecone secure? Yes, Pinecone is secure and enterprise-ready, with SOC 2 and HIPAA certifications.