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Pinecone

Pinecone

Fully managed vector database for building semantic search, RAG, and AI agent memory at any scale.

Build AI AgentsRAG & knowledge bases
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About

• Dense, sparse, and full-text vector indexes managed through a single API with hybrid search and built-in reranking. • Real-time indexing with <100ms write acknowledgment and consistent p50 query latency of 16ms at 10M records. • Enterprise-grade security: AES-256 encryption, CMEK, private networking, SAML SSO, RBAC, and SOC 2/HIPAA/GDPR/ISO 27001 certifications. Pinecone is a serverless vector database designed for production AI workloads including RAG pipelines, semantic search, recommendation systems, and agent memory. It automatically handles indexing, scaling, and rebalancing without manual tuning, supports billions of vectors with stable latency, and offers a web console plus API access. It is available on AWS, GCP, and Azure, including a bring-your-own-cloud (BYOC) deployment option.

Who it's for

Vector database & semantic search

Price

Starter is a free plan; Builder is $20/month flat; Standard is $50/month minimum usage with a 3-week (21-day) trial including $300 credits; Enterprise is $500/month minimum usage. BYOC is contact-only.

AI level

Advanced

Key features

Vector embeddings storageDense & sparse indexesFull-text searchHybrid search & rerankingReal-time indexingMetadata filteringNamespaces for multi-tenancyBackup and restore

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