Pinecone
Fully managed serverless vector database for storing and querying vectors at production scale in AI applications.
FreemiumDevelopment & Technology
Fully managed serverless vector database for storing and querying vectors at production scale in AI applications.
- Pricing
- Freemium
- Best for
- Developers
Fully managed serverless vector database for storing and querying vectors at production scale in AI applications.
About Pinecone
Pinecone is a fully managed vector database that provides storage and retrieval infrastructure for building and running state-of-the-art AI applications. It supports serverless scaling, rapid setup, and advanced retrieval for precise semantic search across dynamic datasets. Designed for engineering teams of all sizes, it ensures reliability with uptime SLAs and compliance certifications like SOC 2, GDPR, ISO 27001, and HIPAA.
Key Features
Rapid setup in seconds
Automatic resource adjustment to demand
Consistent uptime for critical applications
Advanced retrieval for precise search
Encryption at rest and in transit
Hierarchical encryption keys and private networking
Uptime SLAs and observability
SOC 2, GDPR, ISO 27001, and HIPAA compliance
Fully managed and serverless for effortless scaling.
Rapid setup: Launch your vector databases in seconds.
Serverless scaling: Resources adjust to meet your demand automatically.
Best For & Use Cases
Best for
- • Developers
- • Engineering teams
- • Enterprises
- • Organizations running production AI applications
Common use cases
- • Semantic search over large datasets
- • Recommendation engines
- • RAG for forum answering bots
- • Conversational AI platforms with millions of agents
Pricing
Pinecone Pricing
Compare the public plan structure, billing cadence, and included capabilities at a glance.
Freemium4 public plans
Plan
Starter
Free
Included usage limits
- Up to 2 GB storage, Up to 2M write units/mo, Up to 1M read units/mo
- Pinecone Database On-Demand
FAQ
Pinecone is a fully managed vector database that provides the critical storage and retrieval infrastructure needed for building and running state-of-the-art AI applications. It is the vector database for scale in production.
Yes, create your first index for free with the Starter plan, then pay as you go when ready to scale.
Starter (free for trying out and small applications), Standard ($50/month minimum usage for production at any scale), Enterprise ($500/month minimum usage for mission-critical applications), Bring your own cloud (custom pricing for high security and control).
Use the Python client:
```
from pinecone import Pinecone
pc = Pinecone("<API KEY>")
index = pc.Index("semantic-search")
index.query(
namespace="breaking-news",
vector=[0.13, 0.45, 1.34, ...],
filter={"category": {"$eq": "technology"}},
top_k=3
)
```
AWS, Azure, and GCP.
Pinecone is SOC 2, GDPR, ISO 27001, and HIPAA certified.
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