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Pinecone

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

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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 for your needs. All plans include 24/7 support and regular updates.

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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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

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

Get Started

Frequently Asked Questions

Find answers to common questions about Pinecone

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.