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4.5(4200)

Pinecone

Managed vector database for AI applications with fast similarity search, designed for RAG and semantic retrieval.

Free to start·Best for ·1 min
Updated April 9, 2026Certified
API
1

What is Pinecone?

Pinecone is a fully managed vector database built for AI applications. It provides fast, scalable similarity search for embeddings, making it the go-to choice for RAG pipelines, semantic search, recommendation systems, and AI agents that need to retrieve relevant context.

Best for: Developers building RAG applications · Teams needing managed vector search · AI apps requiring fast semantic retrieval

2

Developer Stack Fit

Engineering evaluation

Quick read on where Pinecone fits in a software team's AI stack. Validate final fit against your codebase, data policy, and deployment model.

Methodology
Stack layer
AI Coding
Deployment model
Cloud SaaS
Open-source status
Not confirmed
API support
API or integration-friendly
MCP support
No MCP signal found
Security posture
Review vendor privacy and data retention
Best use case
Developers building RAG applications
3

Key Features

  1. 01

    Fully managed, no infrastructure to maintain

    Sub-10ms vector similarity search

  2. 02

    Sub-10ms similarity search at scale

    Fully managed with zero ops

  3. 03

    Native sparse-dense hybrid search

    Native hybrid sparse-dense search

  4. 04

    Automatic metadata filtering

    A core developer-tools capability that teams use daily.

  5. 05

    Real-time index updates

    A core developer-tools capability that teams use daily.

  6. 06

    Serverless and pod-based deployment options

    A core developer-tools capability that teams use daily.

  7. 07

    Integrations with LangChain, LlamaIndex, OpenAI

    A core developer-tools capability that teams use daily.

4

Pros & Cons

What stands out

  • Zero ops, fully managed
  • Extremely fast query performance
  • Great free tier for prototyping
  • Excellent LangChain and framework integrations

Watch outs

  • Can get expensive at scale
  • Vendor lock-in for core infrastructure
  • Limited to vector search use cases
  • Serverless cold start latency
5

Pricing Plans

Pinecone Pricing

Choose the perfect plan for your needs. All plans include our core features with different usage limits and advanced capabilities.

0 day free trial available on all paid plans

Free

Free
5 indexes
Up to 100K vectors
Single pod
Community support
Get Started Free
Most Popular

Enterprise

Free
Dedicated pods
Custom SLAs
HIPAA compliance
Private deployment
Get Started Free

Standard

$70/monthly
Unlimited indexes
S1/P1 pod types
Collections
SSO
Higher dimensions
Try Pinecone

0 day free trial • No credit card required

Need a Custom Solution?

Looking for enterprise features or custom pricing? Contact Pinecone directly for tailored solutions.

Contact Sales

Most teams land on the Standard plan.

6

Alternatives

ToolRatingPrice
Pinecone4.5Free to startcurrent
LangChain4.4Free to startview →
Vercel AI SDK4.6Free to startview →
Postman4.6Free to startview →
Algolia4.7Free to startview →
Snowflake Cortex AI4.5Free to startview →
7

FAQ

What is Pinecone and how does it work?

Pinecone is a developer-tools tool that managed vector database for ai applications with fast similarity search, designed for rag and semantic retrieval.. It uses AI to help users improve productivity through analyzing input and generating relevant output.

How much does Pinecone cost?

Pinecone starts at $0/month. They offer a free trial so you can test it before committing.

Does Pinecone have a free trial?

Yes — Free to try with no time limit.

What can Pinecone do?

Powering RAG pipelines with fast embedding retrieval
Building semantic search for documentation and content
Creating recommendation systems with vector similarity

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