Pinecone
Pinecone Embeddings
Integrated embeddings for their high-performance vector database.
Seamless integration with Pinecone vectoOptimized for retrieval speedEase of use for RAG pipelines
Today's score
87.0
Where it ranks today
Best for / Not great for
Best for
- Building RAG systems with Pinecone as the vector store
- High-speed similarity search
- Applications needing low-latency retrieval
- Simplified vector search pipelines
Not great for
- Use cases not requiring a dedicated vector database
- Complex, multi-stage embedding transformations
- Scenarios where cost-per-token is the primary concern
Why it ranks here
Pinecone's integrated embedding models offer a streamlined experience for users of their vector database. While the models themselves might not top all broad benchmarks, their tight integration and optimization for Pinecone's platform make them highly effective for RAG applications built on their service.
30-day trend
Score breakdown
Search trends90
Benchmarks86
Developer buzz87
News mentions85
Pricing
API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo
Pricing plans
Free Starter
Get started with vector search.
Free
- Limited pods and data
- Basic support
- Community access
Developer
For individual developers and small projects.
$9/mo
- Increased pod limits
- Higher throughput
- Standard support
- Access to all features
Popular
Enterprise
Scalable and secure for production.
Custom
- Customizable performance
- Advanced security
- Dedicated support
- SLAs