Pinecone

Pinecone is a vector database that enables building knowledgeable AI applications at scale. It offers a fully managed, serverless platform for high-performance semantic search and real-time indexing.

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At a glance

Pricing

Freemium · Paid · Usage-based · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Pinecone?

Pinecone is a leading vector database designed for building accurate and performant AI applications in production. It allows users to search through billions of items for similar matches in milliseconds, making it ideal for use cases like conversational AI, recommendations, and intelligent search. The platform offers a fully managed, serverless architecture for effortless scaling and rapid setup, launching vector databases in seconds. Key features include advanced retrieval capabilities with optimized recall, real-time indexing, and support for hybrid search combining sparse and dense embeddings. Pinecone integrates with various cloud providers, data sources, models, and frameworks, ensuring enterprise-ready security and compliance with SOC 2, GDPR, ISO 27001, and HIPAA certifications.

Best used for

Ideal for developers and data scientists who need to build intelligent AI applications, implement high-performance semantic search, and power AI agents. Especially valuable for organizations requiring scalable, real-time vector database solutions for recommendations, conversational AI, and RAG systems.

Common actions

build AI applications

implement semantic search

manage vector embeddings

scale AI workloads

power AI agents

search engine

Capabilities

Key features

Vector database
Serverless scaling
Real-time indexing
Hybrid search
Metadata filtering
Integrated embedding models
Dedicated Read Nodes

Target Audience

developerdata scientistproduct managerstartup founder

Integrations

awsgcpazure

Pricing & Plans

Freemium · Paid · Usage-based · Enterprise

Freemium

FAQs

What are the limitations of Pinecone's free Starter plan?

The Starter plan includes up to 2 GB of database storage, 2 million write units/month, 1 million read units/month, and limited usage for Assistant and Inference features. It supports up to 5 indexes and 100 namespaces per index, suitable for small applications and testing.

Does Pinecone support hybrid search and full-text search?

Yes, Pinecone supports hybrid search, combining sparse and dense embeddings for robust and accurate results. It also offers full-text search capabilities with sparse indexes for exact keyword matching when semantic search alone is not sufficient.

Can I deploy Pinecone within my own cloud environment?

Yes, Pinecone offers a 'Bring your own cloud' (BYOC) option for organizations requiring the highest level of security and control. This allows Pinecone to run in your cloud account and VPC with zero-access operations and private-only connectivity options.

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Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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