Pinecone

Managed vector database for storing embeddings and serving similarity search in AI applications.

Pricing: free, usage
Free tier: true
Open source: No

Editorial review

Pinecone has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Documentation(HTTPS URL): https://docs.pinecone.io/Verified
Tags(open-source;cloud-native): vector database, RAG, semantic search, AI agents, managed cloudVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): SaaS, managed-cloudVerification pending

Pricing · Licensing

Free plan(true/false): trueVerification pending
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): free, usageVerification pending

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Fully managed vector database built for AI applications, Search, upsert and rerank from the same index through one API key, Automatic indexing with no tuning required, instantly searchable writes, Pinecone Nexus knowledge engine compiling enterprise data into governed knowledge, Agent and MCP integrations including Claude Code, Cursor, Copilot and Gemini CLI, Console and metrics for index monitoring, backups and namespacesVerification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending

Security · Privacy · Compliance

Regulatory compliance(HIPAA;PCI DSS;FedRAMP;GDPR support): HIPAA, GDPRVerified
Security certifications(SOC 2 Type II;ISO 27001): SOC 2 Type II, ISO 27001Verified

Audience · Use · Case

Best for(Neutral editorial summary): Developers and enterprises building RAG and AI agents that need a fully managed vector database with governed enterprise knowledge at scaleVerification pending
Company-size fit(individual;SMB;mid-market;enterprise): individual, SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): RAG pipelines for production applications, Knowledge retrieval for AI agents, Patent search, M&A due diligence, Revenue intelligence, Semantic search over enterprise dataVerification pending

Lifecycle · Versioning

Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Headquarters country(US): United StatesVerification pending
Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

Also categorized in

Vector Database Platforms

User reviews

Review policy

No published reviews yet.