About Pinecone
Pinecone is the leading managed vector database powering semantic search and RAG at scale. Pinecone stands out for vector search and retrieval, semantic search capabilities, dense, sparse, and full-text indexing, and automatic indexing with no tuning required. Teams pick it because managed and reliable and fast at scale. Things to keep in mind: pricing scales fast.
Pinecone is a freemium tool and launched on 2019-06-01. It sits in the Coding and Research space and is best used to Recommendation engines for e-commerce, Semantic search over knowledge bases, Retrieval-augmented generation (RAG) pipelines.
Pricing
StarterFree
- Pinecone Database On-Demand
- Pinecone Inference
- Pinecone Assistant
- Dense, Sparse, and Full-Text Indexes
- Console Metrics
- Community Support via Discord
- Up to 2GB storage
- Up to 2M write units/mo
Builder$20/mo
- Everything in Starter
- Increased usage limits
- Choose your cloud and region
- Multiple projects and users
- Prometheus and Datadog monitoring
- Up to 10GB storage
- Up to 5M write units/mo
- Up to 2M read units/mo
Standard$50/mo minimum + usage
- Everything in Builder
- 3 week trial includes $300 credits
- Pay-as-you-go for Database On-Demand, Inference, and Assistant
- Dedicated Read Nodes (DRN)
- Import from object storage
- Backup and Restore
- RBAC
- SSO (SAML 2.0)
Enterprise$500/mo minimum + usage
- Everything in Standard
- 99.95% Uptime SLA
- Bring Your Own Cloud (BYOC)
- Private Endpoints
- Customer Managed Encryption Keys
- Audit Logs
- Service Accounts
- SAML roles
Features
- •Vector search and retrievalBuilt-in support for vector search and retrieval — used for recommendation engines for e-commerce.
- •Semantic search capabilitiesBuilt-in support for semantic search capabilities — used for recommendation engines for e-commerce.
- •Dense, Sparse, and Full-Text indexingBuilt-in support for dense, sparse, and full-text indexing — used for recommendation engines for e-commerce.
- •Automatic indexing with no tuning requiredCited as a top reason teams pick Pinecone over competitors when they need to recommendation engines for e-commerce.
- •Sub-100ms write acknowledgmentBuilt-in support for sub-100ms write acknowledgment — used for recommendation engines for e-commerce.
- •Pinecone Nexus knowledge engine for agentsA reason power-users stick with Pinecone for recommendation engines for e-commerce.
- •Dedicated Read Nodes for performance optimizationIt's a defining strength of Pinecone — especially when teams need to recommendation engines for e-commerce.
- •Backup and restore functionalityBuilt-in support for backup and restore functionality — used for recommendation engines for e-commerce.
Pros
- Managed and reliable
- Fast at scale
- Great DX
Cons
- Pricing scales fast
- Lock-in concerns
- Limited open-source alternatives in same league
AI Models used
The foundation models that power Pinecone under the hood.
Proprietary vector indexing and retrieval system that powers fast similarity search and semantic matching across stored embeddings.
Categories
Best use cases
Frequently Asked Questions
General
Related & Connected
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Latest models (4)
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