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Pinecone

Pinecone is a fully managed vector database and AI knowledge platform for building knowledgeable AI, including the Nexus knowledge engine for agents, with enterprise security and compliance features.

ProductivityDeveloper ToolsAI InfrastructureEnterprise AIVector Database

About Pinecone

Pinecone

Pinecone's page presents an AI knowledge platform made up of Database, Nexus, and Marketplace. The Database is described as a fully managed vector database built for AI, where writes are searchable within seconds, indexing is automatic, and queries are said to stay fast at any scale. Pinecone Nexus is described as a knowledge engine that compiles enterprise data into governed knowledge once and serves it through a single query, with claimed benchmark results of up to 97% fewer tokens per query, up to 30x faster time-to-completion, and up to 94% more accuracy compared with agentic RAG. The page lists an API that can be used through agent plugins (Claude Code, Cursor, Copilot, Codex, Gemini CLI, MCP) or directly, supporting search, upsert, and rerank from one index. Enterprise offerings mention encryption, SSO, RBAC, CMEK, private networking, SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certifications, and uptime and support SLAs. The page names customers including Adobe, Workday, Microsoft, and OpenAI, and claims 10,000+ customers and 1M developers.

Key features

  • Fully managed vector database with automatic indexing
  • Writes acknowledged in under 100ms and searchable within seconds
  • Single API key for search, upsert, and rerank from the same index
  • Plugins for Claude Code, Cursor, Copilot, Codex, Gemini CLI, and MCP, plus direct API access
  • Pinecone Nexus knowledge engine that serves compiled knowledge through a single query
  • Console for monitoring performance, exploring data, and managing indexes
  • Encryption at rest and in transit, SSO, RBAC, CMEK, and private networking
  • SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certifications
  • Uptime SLAs and support SLAs

Best suited for

  • Developers building RAG pipelines for production apps
  • Enterprises needing governed, compliant knowledge infrastructure for AI agents
  • Teams running semantic search over large vector datasets

Pricing

Not stated on the website

AI agentsRAGenterprise AIsemantic searchknowledge enginevector database

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