product
Data quality: Editorially ReviewedRetrieval & data layer
Vector Databases
Software & technology
Workflow orchestration
Self-hosted / on-premises
Freemium
SaaS (vendor-hosted)
Retrieval & semantic search
Pinecone
Vector Databases
Overview
Pinecone is a fully managed serverless vector database that handles vector storage, querying, and scaling for RAG pipelines without requiring users to tune index parameters. It decouples storage from compute and charges based on storage and query activity, supporting billions of vectors with real-time updates, metadata filtering, and hybrid search.
- Pricing model
- Freemium
- Deployment
- SaaS (vendor-hosted), Self-hosted / on-premises
- Regions served
- Global
- Categories
- Retrieval & data layer, Vector Databases, Software & technology, Workflow orchestration, Self-hosted / on-premises, Freemium, SaaS (vendor-hosted), Retrieval & semantic search
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
SaaS (vendor-hosted)
Self-hosted / on-premises
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- pinecone.io
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.