Pinecone

Pinecone

A high-performance vector database designed for fast, scalable vector search in production environments.

About Pinecone

Pinecone is an advanced vector database that simplifies and accelerates vector search deployment in production. It enables seamless management of vector embeddings for applications like semantic search, personalized recommendations, and intelligent AI agents. With its scalable and cloud-native architecture, Pinecone handles billions of vectors with near-instantaneous retrieval, transforming research models into production-ready solutions without the need for complex DevOps. It empowers organizations to build knowledge-rich AI systems efficiently and reliably.

How to Use

Start by generating vector embeddings from your data. Use Pinecone's API to manage and search these embeddings efficiently. The platform offers quick setup with serverless scaling, allowing you to deploy vector databases within seconds and dynamically allocate resources as your needs grow. Ideal for building semantic search, recommendation engines, and AI-powered applications.

Features

  • Serverless, auto-scaling infrastructure
  • Advanced metadata filtering
  • Instantaneous real-time indexing
  • Hybrid search combining sparse and dense embeddings
  • Completely managed cloud environment
  • High-speed vector similarity search
  • Built-in support for semantic search

Use Cases

  • Retrieval Augmented Generation (RAG)
  • Semantic search optimization
  • Financial data analysis
  • AI-driven virtual assistants
  • Molecular similarity search
  • Personalized recommendation systems

Best For

Machine learning engineersApplication developersData scientistsAI developersSearch engineersData analystsKnowledge management teamsResearch scientists

Pros

  • Supports hybrid search for comprehensive results
  • Enables fast and scalable vector similarity search
  • Meets enterprise security and compliance standards
  • Integrates seamlessly with cloud providers and ML frameworks
  • Quick setup with minimal configuration
  • Offers real-time, continuous indexing
  • Fully managed and serverless architecture

Cons

  • Pricing complexity varies with usage volume
  • Requires understanding of vector embedding concepts
  • Potential vendor lock-in for long-term deployment

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Starter

Free

Ideal for initial testing and small-scale projects. Includes limited usage of serverless features, inference, and support. Community support included.

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Most Popular

Standard

from $25 per month

Suitable for production workloads of any size. Comes with $15 monthly usage credits and pay-as-you-go options for serverless, inference, and support services. Free support included.

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Enterprise

from $500 per month

Designed for mission-critical applications. Includes $150 monthly usage credits, 99.95% uptime SLA, SAML SSO, private networking, customer-managed encryption, audit logs, service accounts, admin APIs, HIPAA compliance, and premium support.

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Dedicated

Contact us

For organizations requiring maximum security and control. Includes everything in Enterprise plus bring-your-own-cloud (BYOC) and premium support options.

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FAQs

What is Pinecone used for?
Pinecone provides a scalable, fast vector database for deploying semantic search, recommendation engines, and AI applications in production.
Can Pinecone support hybrid search methods?
Yes, Pinecone combines sparse and dense embeddings to deliver more accurate and flexible search results.
Is Pinecone a serverless platform?
Yes, Pinecone is fully managed and serverless, enabling effortless scaling and maintenance.
What types of applications benefit from Pinecone?
Applications such as semantic search, personalized recommendations, AI assistants, and molecular similarity searches benefit greatly.
Does Pinecone meet industry compliance standards?
Yes, Pinecone is compliant with SOC 2, GDPR, ISO 27001, and HIPAA standards.