pinecone
Pinecone is a fully managed vector database for building knowledgeable AI applications — providing fast retrieval, automatic indexing, and consistent query latency at production scale for search, recommendations, agents, and other embedding-powered workloads.
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Review official source →Quick Overview
Best for: Research
What it does
Research software for decision-makers comparing workflow fit and alternatives.
Best fit
Research
Pricing snapshot
Freemium from See full pricing (pay as you go)
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pinecone
Pinecone is a fully managed vector database built for AI that lets teams store, index, and query vector embeddings at production scale. Writes are acknowledged quickly and become searchable within seconds, indexing is automatic and self-tuning, and the system is designed to keep query latency consistent as data grows. Pinecone targets developers and organizations building retrieval-augmented generation, semantic search, recommendations, agent memory, and other embedding-driven applications, and offers a console and terminal tooling for managing indexes and monitoring performance.
Vector database for fast and easy vector search in production.
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Claim this listing for $29Key Features
Low-latency writes
Writes acknowledged in under 100ms and become searchable within seconds, enabling fast ingest and immediate use.
Automatic indexing and tuning
Indexing is automatic with algorithms selected per data size and upgraded in the background, requiring no manual tuning.
Consistent query latency at scale
All data is searched in parallel so query speed holds steady regardless of scale (claims of p99 latency improving with scale).
Console and terminal management
Monitor performance, explore data, and manage indexes from a web console or via terminal/CLI tools.
Built-in metrics and monitoring
Metrics for read/write units, requests per second, latency (p50/p95/p99), storage size, and record counts are available in the UI.
Enterprise security & compliance
Supports encryption at rest and in transit, SSO, RBAC, CMEK, private networking, and lists SOC 2 Type II, HIPAA, GDPR, and ISO 27001 compliance.
Pricing
Create your first index for free, then pay as you go when you're ready to scale.
Pay-as-you-go
See full pricing (pay as you go)- Create your first index for free
- Estimate cost of workload via site pricing tools
Use Cases
Agent memory / isolated agent namespaces
Provide isolated knowledge for each agent via one namespace per agent so agent fleets can scale with precompiled knowledge per agent.
Semantic search at scale
Support single indexes handling billions of vectors while maintaining recall and low latency (example: 31ms p50 at 1B vectors).
Filtered recommendations
Run metadata filtering inside queries so filtered results return with the same speed and integrated relevance and ranking.
Enterprise AI infrastructure
Deploy production-grade retrieval services with security controls, compliance certifications, SLAs, and dedicated support.
Integrations
No verified integration details are available.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Start for free using the Pinecone site (Create your first index for free).
- 2 Create an index in the console or via CLI and upload vectors (UI shows Indexes and Upsert/Query tooling).
- 3 Monitor metrics and manage indexes from the web console or terminal; scale and pay as you go when ready.
Support
Documentation
Documentation and developer docs are available from the site (View Docs).
Sales / Demos
Get a Demo and 'Start Building' options are provided on the site for onboarding and enterprise inquiries.
Community & Learning
Community Forum and Learning Center are listed on the site for community support and educational resources.
Status
Service status page is linked from the site (Status).
API
Documentation available on the site (View Docs); API keys and CLI are referenced in the product UI.
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