Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Fully managed and serverless
Effortless scaling and rapid setup.
Advanced retrieval capabilities
Precise search across dynamic datasets.
Real-time indexing
Ensures fresh reads with dynamically indexed vectors.
Secure and compliant
Data is protected with encryption and meets industry standards.
Pinecone is a vector database designed for building knowledgeable AI applications by enabling rapid and relevant searches through billions of items in milliseconds. It simplifies the scaling process by being fully managed and serverless, allowing users to launch vector databases in seconds. Pinecone empowers applications with advanced retrieval capabilities and real-time indexing, ensuring that users have access to the most relevant information when it's needed.
Pinecone supports various use cases including recommendations, search, and retrieval-augmented generation (RAG). It provides features such as vector filtering, embeddings from hosted models, and namespaces for data partitioning. Pinecone is SOC 2, GDPR, ISO 27001, and HIPAA certified, ensuring compliance and security for enterprise applications.
Building recommendation systems for personalized content.
Enhancing search capabilities for large datasets.
Creating intelligent agents that require real-time data retrieval.
A vector database is a specialized database designed to handle and query vector embeddings, allowing for efficient similarity searches and retrieval.
Pinecone employs encryption at rest and in transit, hierarchical encryption keys, and offers private networking options.
Yes, Pinecone is designed to work with various cloud providers, data sources, models, and frameworks.
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