Pinecone

Provides a managed vector database and knowledge engine that stores, indexes, and retrieves vector data to give AI agents and RAG pipelines accurate context at scale. Serves developers, data and IT teams in businesses ranging from startups to enterprises building AI applications. Delivered as a serverless SaaS and infrastructure API with automatic indexing, parallel query execution, and options for dedicated read nodes and zero-access BYOC deployment.

Key features

• Vector database storage and retrieval
• Automatic indexing with no tuning
• Instantly searchable writes
• Parallel query at any scale
• Serverless object storage architecture
• Dedicated provisioned read nodes
• Nexus governed knowledge compilation
• Single-query agent retrieval
• Production-grade Assistant for agents
• BYOC zero-access deployment
• Marketplace production-ready assistants
• Console for index management
• API key management
• Index backups
• Inference API