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Pinecone
について Pinecone
Pineconeは、AIアプリケーション向けの完全管理型ベクトルデータベースです。ミリ秒単位のクエリ速度で、あらゆる規模で高速かつ正確なセマンティック検索、レコメンデーションシステム、RAGアプリケーションを構築できます。
タグ
#ベクトルデータベース#意味検索#RAG#埋め込み
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Pinecone Core Features
Fully Managed Vector Database — Pinecone handles the infrastructure, scaling, and maintenance of your vector database, so you can focus on building AI applications without worrying about operations.
Millisecond Query Speeds — Optimized for low-latency similarity search, Pinecone delivers sub-100ms responses even at billions of vectors, enabling real-time AI features.
Semantic Search — Build powerful semantic search capabilities that understand the meaning behind queries, going beyond keyword matching to deliver more relevant results.
Recommendation Systems — Power personalized recommendations by finding similar items or users based on vector embeddings, improving user engagement and conversion.
RAG (Retrieval-Augmented Generation) — Enhance LLM outputs by retrieving relevant context from your own data, reducing hallucinations and improving accuracy for generative AI applications.
Serverless & Scalable — Automatically scales up or down based on demand, with a serverless option that eliminates capacity planning and reduces costs for variable workloads.
Multi-Cloud Support — Deploy on AWS, Google Cloud, or Azure, with options for hybrid and on-premises deployments, ensuring flexibility and compliance.
Pinecone Subscription Plan
Free
$0
- 1 project
- Up to 100K vectors
- 1 pod (shared)
- Community support
Serverless
Pay-as-you-go
- No capacity planning
- Automatic scaling
- Pay per write/read/query
- Suitable for production workloads
Enterprise
Custom
- Dedicated pods
- Private networking
- SSO/SAML
- SLA and priority support
- Custom compliance (HIPAA, etc.)
