
Pinecone
pinecone.io- Category
- Developer Tools
- Rank
- No. 1315Tools index
- Listed in
- #3 Add vector search · #9 Choose data infrastructure
- Pricing
- Freemium
- Type
- TOOL
- Use case
- Data, Retrieval & Knowledge
- Interfaces
- MCP · SDK · API
- Builder
- @pinecone
- Date
About
Pinecone is a fully-managed, serverless vector database that lets developers store and query embeddings at scale without running infrastructure — a common production retrieval layer for RAG.
What it does
The site describes Pinecone as a fully managed, serverless vector database and knowledge platform for AI agents, handling writes, automatic indexing, and queries so retrieval stays fast and consistent as data scales, without the user managing the underlying infrastructure.
Stated on the product site
- Interfaces offered
- Integrates with developer and agent tools via a CLI plugin install and MCP, with named support for Claude Code, Cursor, Copilot, Codex, and Gemini, plus a web console for managing indexes.
- Deployment model
- Hosted as a managed service on AWS, with indexes assignable to specific regions such as us-east-1.
- Pricing model
- Free to create a first index, then usage-based pricing as workloads scale up.
- Security controls
- Offers encryption at rest and in transit, SSO, RBAC, CMEK, and private networking.
- Compliance certifications stated
- States SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certification.
Not stated on the site
- The page does not show which specific similarity metrics or index algorithms a user can choose between.
- The page does not state exact pricing tiers, rate limits, or what the free starting index includes.
- The page does not show whether any self-hosted or on-premises deployment option exists beyond the AWS-hosted regions listed.
Written from the product site at pinecone.io.
Intel on Pinecone
Tags
managedvector-databasePineconesemantic-searchembeddingsaiDatabaserag
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