Pinecone

Fully managed vector database built for AI, providing fast retrieval, accurate results, and lower costs for search, recommender systems, and agents.

About Pinecone

Fully managed vector database built for AI, providing fast retrieval, accurate results, and lower costs for search, recommender systems, and agents.

Products

  • Pinecone Database

    Retrieval, Vector Search & RAGFrom $20/month

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    Fully managed serverless vector database for AI search and retrieval, supporting dense, sparse, and full-text indexes with a 99.95% uptime SLA.

  • Pinecone Nexus

    Retrieval, Vector Search & RAG

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    Compiles data into a queryable knowledge layer, enabling agents to retrieve grounded, cited answers via a single declarative KnowQL query.

  • Pinecone Assistant

    Retrieval, Vector Search & RAGFrom $20/month

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    API service for building production-grade chat and agent-based applications that answer complex questions about proprietary data accurately and securely.

  • Pinecone Dedicated Read Nodes

    Retrieval, Vector Search & RAGFree trial

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    Provisioned read nodes delivering predictable speed and cost for billion-vector and high-QPS workloads with hourly per-node pricing.

  • Bring Your Own Cloud (BYOC)

    Retrieval, Vector Search & RAGCustom pricing

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    Deploys a private Pinecone region inside the customer's AWS, GCP, or Azure account with a zero-access operating model, keeping vectors and queries inside the customer's VPC.

What customers say

“Pinecone serverless isn't just a cost-cutting move for us; it is a strategic shift towards a more efficient, scalable, and resource-effective solution.”
CustomerPinecone customer
“Our choice to work with Pinecone wasn’t just based on technology; it was rooted in their commitment to our success. They listened, understood, and delivered beyond our expectations.”
CustomerPinecone customer
  • Pinecone Database

    InpharmD uses Pinecone Database to store medical-literature embeddings and retrieve information for Sherlock, its clinical AI assistant. Pinecone reports approximately 80% storage cost savings, a 75% reduction in inquiry…

    Case study
  • Pinecone Database

    Deep Talk uses Pinecone Database to store embeddings and metadata, perform hybrid search and separate customer data with namespaces. Pinecone reports savings of approximately three weeks of initial engineering work and…

    Case study
  • Pinecone Database

    Chipper Cash stores selfie embeddings in Pinecone Database and searches for similar faces to detect duplicate accounts. Pinecone reports verification above 95% accuracy in under 2 seconds and a 10x decrease in fraudulent…

    Case study

Security and compliance

As reported by Pinecone. Ask for audit reports before you buy.

  • SOC 2 Type IICertified
  • ISO/IEC 27001Certified
  • HIPAACompliant
  • FIPS 140-2Compliant
  • Encryption at rest and in transit
  • AES-256 encryption
  • TLS 1.2 protocol
  • Audit logs
  • Private endpoints
  • Customer Managed Encryption Keys (CMEK)
  • API key roles
  • User RBAC
  • SAML SSO
  • MFA (Coming Soon)
  • Deletion protection
  • Cross-region replication
  • Backup and restore
  • 99.95% uptime SLA

Subprocessorseesel AI, Hyperspell, Inkeep, Kyber, Tusk, Zalos AI Ltd, Ezra AI Labs, Jobotics, spacesheep

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