| Name | Pinecone |
| Overview | Pinecone is a fully managed vector database designed for AI applications, offering low-latency vector search and metadata filtering. It is ideal for developers building AI-powered systems such as semantic search and recommendation engines. Its managed infrastructure supports the fast retrieval of high-dimensional vector data, and its serverless model allows scaling effortlessly without manual intervention. |
| Main features | – Low-latency vector search – Metadata filtering – Serverless and fully managed – Automatic scaling – Efficient storage and retrieval of high-dimensional vector data – Keyword boosting – Role-based access control (RBAC) – Backups |
| Benefits | – Effortless scalability – Cost-effective serverless infrastructure – Low-latency search and retrieval – Easy integration with AI applications – Customizable features for specific use cases |
| Role of use | – Semantic search – Recommendation systems – Anomaly detection – AI model training and inference |
| Target audience | Developers and data scientists working on AI projects, companies building search and recommendation systems, and businesses deploying AI-powered solutions. |
| Pricing | Pinecone offers a free Starter Plan for small applications, a pay-as-you-go Standard Plan for production apps, and a custom Enterprise Plan with added benefits for mission-critical systems. |
| Tags | AI, Vector database, Search, AI-powered applications, Database management, Serverless infrastructure, Semantic search |
| App available? | No, you can only use Pinecone on website platforms. |
Pinecone
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Introduction
Pinecone is a fully managed, serverless vector database designed for AI applications, offering fast, scalable, and low-latency vector search, making it ideal for AI-driven systems like semantic search.
Category: Development
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