Pinecone
The vector database to build knowledgeable AI. Pinecone delivers relevant results at any scale with advanced retrieval capabilities for precise search across dynamic datasets.
关于此工具
Introduction
What is Pinecone?
Pinecone is a purpose-built vector database designed to handle large-scale vector search operations. It enables developers to build knowledgeable AI applications by providing efficient and accurate search capabilities across billions of vectors.
Core Functionality
Pinecone specializes in vector similarity search, allowing users to find similar items in milliseconds. It supports hybrid search, combining sparse and dense embeddings for more robust and accurate results.
Purpose and Applications
Pinecone is used by innovative companies to enhance AI applications, including semantic search, recommendation systems, and real-time data retrieval. It is particularly valuable for enterprises with extensive documentation or dynamic datasets.
Features
Performance at Scale
Pinecone is optimized for high performance, handling billions of vectors with low latency. It supports global writes and real-time indexing to ensure fresh reads.
Advanced Retrieval Capabilities
- Embeddings: Choose from hosted models or bring your own vectors.
- Optimized Recall: Leading algorithms maximize recall with low latency.
- Filters: Retrieve vectors that match specific metadata criteria.
- Full-Text Search: Get exact keyword matches when semantic search isn't enough.
- Rerankers: Boost the most relevant matches with an extra layer of precision.
Enterprise-Ready AI
- Secure: Encryption at rest and in transit, hierarchical encryption keys, and private networking.
- Reliable: Uptime SLAs, support SLAs, and observability for mission-critical applications.
- Compliant: SOC 2, GDPR, ISO 27001, and HIPAA certified.
Simplified Scaling
- Fully Managed: Serverless architecture for effortless scaling.
- Rapid Setup: Launch vector databases in seconds.
- Serverless Scaling: Resources adjust automatically to meet demand.
Frequently Asked Questions
What is Pinecone used for?
Pinecone is used for building AI applications that require efficient and accurate vector search capabilities, such as semantic search, recommendation systems, and real-time data retrieval.
How does Pinecone handle large datasets?
Pinecone is designed to scale effortlessly, handling billions of vectors with low latency. It supports real-time indexing and global writes to ensure data freshness.
Is Pinecone secure?
Yes, Pinecone offers robust security features, including encryption at rest and in transit, hierarchical encryption keys, and private networking. It is also compliant with SOC 2, GDPR, ISO 27001, and HIPAA standards.
How can I get started with Pinecone?
You can create your first index for free and pay as you go when ready to scale. Pinecone provides a simple API for integration with your applications.
What makes Pinecone different from other vector databases?
Pinecone is fully managed and serverless, offering effortless scaling and advanced retrieval capabilities like hybrid search, filters, and rerankers. It is also enterprise-ready with robust security and compliance features.
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