Pinecone

Vector database for building AI applications — store and search vectors for semantic search, recommendations, and more

Verified API available Works with n8n Free tier ~16k monthly visits
Quick facts
What is it Vector database for building AI applications — store and search vectors for semantic search, recommendations, and more
Pricing Freemium — from $20/mo
Free tier Yes
Platform Web Application
API Yes
Works with n8n
Best for building semantic search for e-commerce, creating AI assistants with retrieval-augmented generation
Domain registered 2016

Data updated Aug. 1, 2026

What does Pinecone do?

Pinecone is a managed vector database built for AI applications. It stores and searches vector embeddings — numerical representations of data — so you can find similar items, power semantic search, or build retrieval-augmented generation (RAG) pipelines. Instead of managing your own infrastructure, you create an index, upload vectors (or let Pinecone generate them from text), and query with natural language. The service handles scaling, indexing, and search at production level.

What sets Pinecone apart is its integrated embedding and reranking. You can upsert raw text and have Pinecone automatically convert it to vectors using hosted models. It supports dense vectors for semantic search, sparse vectors for lexical search, and full-text search with BM25 ranking on the same index. You can filter by metadata, rerank results for accuracy, and use namespaces for multi-tenant isolation. Pinecone also offers an Assistant feature for building AI assistants that answer questions from your data, and a Marketplace for publishing no-code knowledge apps.

Pinecone is best for developers and data teams building AI features into their products. Common use cases include semantic search on e-commerce catalogs, personalized recommendations, and RAG-based chatbots. It integrates with popular AI tools and frameworks, and provides SDKs for Python, Node.js, and Go, plus a CLI and API for automation.

#ai application#embedding#full-text search#retrieval augmented generation#semantic search#vector database

Key features

What makes it stand out
01
Integrated embedding — Pinecone automatically converts text to vectors using hosted embedding models
02
Bring your own vectors — upload pre-computed vectors from any embedding model
03
Full-text search with BM25 ranking alongside semantic search on the same index
04
Filter search results by metadata to narrow scope and improve relevance
05
Rerank results to increase search accuracy

Who is Pinecone for?

Who benefits most from this tool
building semantic search for e-commerce
creating AI assistants with retrieval-augmented generation
powering recommendation systems

Pricing

Free tier available — start without a credit card

Starter

Free
  • Pinecone Database (On-Demand)
  • Pinecone Inference
  • Pinecone Assistant
  • Dense, Sparse, and Full-Text Indexes
  • Console Metrics
  • Community Support via Discord

Builder

$20.0/month

Everything in Starter, plus:

  • Increased usage limits
  • Choose your cloud and region
  • Multiple projects and users
  • Prometheus and Datadog monitoring
  • Free support
  • Response SLAs available via Developer or Pro support add-on

Standard

$50.0/month

Everything in Builder, plus:

  • Pay-as-you-go for Database On-Demand, Inference, and Assistant Usage
  • Choose your cloud and region
  • Dedicated Read Nodes (DRN)
  • Import from object storage
  • Backup and Restore
  • User and API Key RBAC
  • SAML SSO
  • HIPAA add-on
  • Free support
  • Response SLAs available via Developer or Pro support add-on

Enterprise

$500.0/month

Everything in Standard, plus:

  • 99.95% Uptime SLA
  • Private Networking
  • Customer Managed Encryption Keys
  • Audit Logs
  • Service Accounts
  • Admin APIs
  • HIPAA Compliance
  • Pro support included

BYOC

Custom
  • Pinecone in your cloud account
  • Zero-access operations – no SSH, VPN, or inbound access required
  • Outbound-only operations with an auditable trail
  • Pro support included

Trust & presence

Domain Domain registered 2016

Gallery

Click any image to enlarge

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