What is Pinecone? A widely used service as a vector database

Pinecone is a widely used service as a vector database. It is primarily used in AI applications and machine learning, particularly in search, recommendation systems, natural language processing (NLP), image retrieval, and more.

Key features and functions

1. Vector Search
   • Pinecone stores data in a high-dimensional vector format, allowing for fast and scalable searches. For example, it can be used when users search for similar images or text.
2. Real-time scalability
   • It features a scalable design that can handle large datasets, allowing for efficient searching as data grows.
3. Ease of integration
   • It can be easily integrated via Python SDKs and REST APIs, and it also integrates with popular machine learning frameworks such as TensorFlow and PyTorch.
4. High availability and fault tolerance
   • Pinecone is based on a distributed system and is highly available and fault-tolerant.
5. Serverless
   • No infrastructure management is required, allowing developers to focus on developing applications and services.
6. Cost-Effective
   • It has a usage-based billing model that minimizes wasted resources.

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Key Use Cases

1. Personalized search and recommendations
   • Product and content recommendations based on user preferences.
2. NLP Applications
   • Text similarity calculations and semantic searches.
3. Image recognition and search
   • Vectorize image features for search and classification.
4. Utilizing Pre-Learning Models
   • Advanced vector search combined with OpenAI’s Embeddings and Sentence Transformers.

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fee

Pinecone offers three pricing plans to choose from, depending on your application and size. Here’s a breakdown of each plan:

1. Starter Plan

• Intended for: For trials and small applications
• Price: Free
• Key features:
  • 2GB of storage included.
  • It includes 2 million write units (WUs) and 1 million read units (RUs) per month.
  • Pinecone’s serverless, inference, and assistant features are available.
  • Using Console Metrics
  • Community Support

2. Standard Plan

• Intended for: For production applications of all sizes
• Price: Pay-as-you-go
• Key features:
  • Unlimited use of serverless, inference, and assistant features
  • Choose between cloud and region
  • Import from Object Storage
  • Manage multiple projects and users
  • Role-Based Access Control (RBAC)
  • Backup Capabilities
  • Using Prometheus Metrics
  • Access to developer and professional support

3. Enterprise Plan

• Audience: For mission-critical production applications
• Price: Custom (contact sales representative for details)
• Key features:
  • All features of the Standard plan
  • 99.95% Uptime SLA
  • Single sign-on (SSO)
  • Private Links
  • Customer-managed encryption keys (CMEK) *Public preview
  • Audit Log *Early Access
  • Provide Enterprise Support

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Additional Pricing Information

• Serverless indexing:
  • Storage: 2GB included, excess $0.33/GB/month
  • Units Burned (WUs): 2 million/month included, excess is $4~$6/million WUs
  • Reading Units (RUs): 1 million/month included, excess is $16~$24/million RUs
• Backup Storage (Public Preview):
  • $0.12/GB/month
  • Restore is $0.50/GB
• Reference:
  • Embed:
    • multilingual-e5-large: includes 5 million tokens/month, excess is $0.08/million tokens
    • pinecone-sparse-english-v0 (public preview): includes 5 million tokens/month, excess is $0.08/million tokens
  • Rerank:
    • pinecone-rerank-v0 (public preview): 500 requests/month included, excess $2/thousand requests
    • bge-reranker-v2-m3: 500 requests/month included, excess $2/thousand requests
    • cohere-rerank-v3.5: $2/thousand request
• Pinecone Assistant:
  • 1GB of storage is included, and the excess is $3/GB/month
  • Input tokens: 1.5 million included, excess $8/million tokens
  • Output tokens: 200 thousand included, excess $15/million tokens
  • Daily Rate: Free, $0.20/assistant/day for excess

For more information and up-to-date information, please refer to the official pricing page.

How to register for Pinecone

Go to the official website and register from “Sign up” in the upper right corner of the screen.

Pinecone official documentation

The official website provides detailed instructions on how to set it up and how to use the API.
Official website

Pinecone Examples
https://docs.pinecone.io/examples/notebooks