Overview
Vector database for AI/RAG applications
Best for: Vector similarity search; RAG retrieval; semantic search; recommendation systems; anomaly detection
At a glance
Pricing
Free tierStandard from $70/mo
- Difficulty
- Beginner-friendly
- Time to productivity
- 1 hour
- Privacy
- High
- Learning curve
- Moderate
Ideal for
AI developersRAG builderssearch engineersML teamsenterprises building AI products
Key capabilities
Works with
- Vector embeddings
- metadata
Outputs
- JSON API responses
- similarity scores
- filtered results
Mobile access
How to use Pinecone on phones and tablets.
- Mobile web: Works in a mobile browser (responsive or dedicated mobile site).
Free Tier
Free: 1 index; 2 GB storage; 100K vectors; unlimited queries; shared infrastructure
Limits: Free: 2GB; Starter $70/mo: 10GB; Standard: custom; Enterprise: dedicated
When to upgrade: Storage limits; more indexes; dedicated infrastructure; multi-tenancy; enterprise support; SLA
Technical Details
Type: api
Offline: No
API: Yes
Languages: N/A (vectors are language-agnostic)
Integrations: LangChain, LlamaIndex, OpenAI, Anthropic, Cohere, Hugging Face, Haystack, every major AI framework