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Pinecone

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Managed vector database for semantic search and RAG

Vector DatabasesData & DatabasesCloud & Infrastructure
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Reviews onG2
39 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Fully managed

Biggest con

Can get expensive

TL;DR - Pinecone

  • Vector database for AI applications
  • Semantic search at scale
  • Integrates with LangChain and more
Pricing: Free plan available
Best for: Growing teams
4.6/5 across review platforms

What is Pinecone?

Editorial review
Pinecone is a managed vector database for machine learning applications. Build semantic search, recommendations, and RAG applications with high-performance similarity search.

Available on: Web

how we evaluateSourcepinecone.io ↗

Pros & Cons

Pros

  • Fully managed
  • Great for AI
  • Fast queries

Cons

  • Can get expensive

Ratings Across the Web

4.6(39 reviews)
G239 reviews
4.6/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Vector databaseSemantic searchSimilarity searchRAG supportDedicated Read NodesSAML SSOHIPAA compliancePrivate networkingAudit logsBYOC deployment

Pricing Plans

Pricing checked Jul 10, 2026

Starter

Free

  • Up to 2 GB storage
  • 2M write units/month
  • 1M read units/month
  • 5 indexes max
  • Community support (Discord)
  • Pinecone Database, Inference, Assistant
  • Console metrics

Standard

$50

  • $0.33/GB storage
  • $4-16 per million read/write units
  • Dedicated Read Nodes
  • 20 indexes per project
  • 100K namespaces per index
  • SAML SSO and API Key RBAC
  • Backup and restore
  • Prometheus metrics

Enterprise

$500

  • Everything in Standard
  • 99.95% uptime SLA
  • Private networking
  • Customer-managed encryption keys
  • Audit logs
  • Admin APIs
  • HIPAA compliance
  • Pro support
Calculate your costView full pricing

Reviews

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4.6/5

Across 39 verified user reviews on G2

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Still deciding?

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Pinecone FAQ

How does Pinecone support machine learning applications?

Pinecone is a managed vector database specifically designed for machine learning applications. It enables high-performance similarity search, which is crucial for building features like semantic search and recommendation engines.

Which teams would benefit most from using Pinecone?

Teams developing AI-powered applications, particularly those focused on semantic search, recommendations, or RAG (Retrieval Augmented Generation), would find Pinecone most beneficial. Its fully managed nature simplifies the infrastructure burden for these teams.

How is Pinecone priced?

Pinecone offers a free tier for users to get started. For more extensive usage and additional features, paid plans are available.

What kind of applications can be built using Pinecone?

Pinecone allows users to build applications requiring high-performance similarity search, such as semantic search, recommendation systems, and RAG applications. It provides the necessary database infrastructure for these machine learning use cases.

What are the main trade-offs when considering Pinecone?

While Pinecone offers fast queries and is great for AI, a potential trade-off to consider is that its usage can become expensive. This is a factor to weigh against its fully managed benefits.

How does Pinecone compare to Weaviate?

Pinecone, like Weaviate, is a vector database designed for machine learning applications, offering high-performance similarity search. Pinecone emphasizes its fully managed nature and fast queries for AI-driven use cases.

Source: pinecone.io

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