PRODUCTParent Company: Pinecone
Pinecone Serverless
Capabilities & Summary
Serverless vector index paying only for vector reads and storage without cluster sizing.
Primary Use Cases
enterprise-rag
Implemented Concepts & Architecture
Vector Search
Retrieval mechanism based on calculating mathematical distances between high-dimensional vector embeddings of queries and documents.
Dense Retrieval
A semantic search paradigm utilizing dense neural embeddings, where all vector dimensions contain continuous real numbers representing the latent meaning of text.
Product Category
Parent Entity
Pinecone →Fully managed vector database built for high-throughput semantic search and RAG.