Business Profile
Pinecone provides the Pinecone Vector Database, a fully managed, serverless vector database that enables scalable, knowledgeable AI for production use.
{"Developers building AI-powered search, RAG pipelines, and knowledge assistants","Engineers and data scientists deploying production AI workloads at scale","Enterprise product/engineering teams needing scalable, reliable vector retrieval and maintenance"}
{"Fully managed, serverless vector database with automatic scaling","Hybrid search capabilities combining sparse and dense embeddings","Real-time indexing and cascading/re-ranking retrieval to boost relevance","Multi-cloud/region compatibility with private networking and strong security/compliance (SOC 2, GDPR, ISO 27001, HIPAA)"}
Customers can deploy and start seeing value quickly; e.g., InpharmD reports getting Pinecone up and running in production in just one day
Head of AI reports 12% accuracy improvement with hybrid retrieval, along with reduced call times and improved compliance.
Gong notes improved ability to provide precise, relevant examples in conversations using Pinecone.
12-months' transformation with Pinecone enabling 10x faster response generation for RFPs and questionnaires.
Glasp reports 5x cost savings for knowledge access across millions of users.
Underwriting workflows enhanced with scalable vector retrieval for faster, context-aware decisions.
Pinecone is a vector database designed to power knowledgeable AI, offering a fully managed, serverless solution with embedding support, real-time indexing, hybrid search, and secure, production-grade capabilities across cloud providers.
Developers and enterprises building AI-powered search, RAG, agents, and knowledge-based apps across finance, healthcare, insurance, legal, and technology sectors.
A fully managed, serverless vector database with hybrid search, real-time indexing, and enterprise-grade security that scales from small experiments to billions of vectors across multiple cloud providers.
API-driven service requiring API key authentication; supports embeddings and reranking models; can run across multiple cloud providers; features private networking and region-based deployment; code examples show namespace-based queries and vector inputs
Usage-based pricing with a starter/free tier and paid plans; Starter, Standard, and Enterprise plans available; 3-week trial with $300 credit on Starter tier; minimum usage charges apply (e.g., $50/month for Starter); pay-as-you-go for Serverless, Inference, and Assistant usage; private region and BYOC options on Enterprise
Based on matching: problems solved, target roles, key features, industries
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