Pinecone
AI InfrastructureVector database for fast and accurate AI-powered search
About Pinecone
Pinecone is a managed vector database designed for AI applications that require similarity search over high-dimensional embeddings. It is widely used in retrieval-augmented generation (RAG) pipelines, semantic search, recommendation systems, and anomaly detection. Pinecone handles indexing, storage, and querying of vector embeddings at scale, eliminating the infrastructure complexity of building vector search from scratch.
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- Edo Liberty
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Pinecone FAQs
What is a vector database?
A vector database stores numerical representations (embeddings) of data and enables similarity search — finding records that are semantically similar to a query. This is essential for AI features like semantic search, RAG, and recommendations.
Does Pinecone have a free plan?
Pinecone offers a free Starter plan with one serverless index and limited storage, suitable for prototyping and small-scale applications. Paid plans unlock more indexes, storage, and production-grade SLAs.
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