Tool overview
Pinecone is listed under AI Infrastructure & MLOps AI tools.
What is Pinecone?
Pinecone provides fully managed vector search, dense and sparse indexes, full-text search, inference, assistants, and enterprise data controls. Developers can start free, use a fixed Builder plan, or scale through usage-based and enterprise tiers.
Best for
Teams building production retrieval, search, and agent knowledge systems
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
Dense, sparse, hybrid, and full-text indexes
Serverless vector database and dedicated read nodes
Inference, Assistant, and Marketplace applications
APIs, SDKs, monitoring, RBAC, and enterprise controls
Use cases
Build retrieval-augmented generation systems
Serve semantic and hybrid search
Create knowledge assistants and agents
Power recommendations and personalization
Pros
- Free Starter and flat-price Builder plans
- Fully managed operation across major clouds
- Official affiliate, referral, and partner programs
Limitations
Starter and Builder enforce quotas instead of unlimited overages.
Production teams must monitor model, database, assistant, and support usage separately.
Pricing details
Billing options
Pricing note
Starter is free. Builder is $20/month flat. Standard has a $50 monthly minimum and a three-week trial with $300 in credits. Enterprise has a $500 monthly minimum before usage overages.
Supported languages
- English
Integrations
AWS
Google Cloud
Microsoft Azure
Datadog
Microsoft OneLake
Model and agent frameworks
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