Pinecone

Pinecone is a fully managed vector database built for AI applications that rely on embeddings, such as semantic search, retrieval-augmented generation (RAG), recommendation systems, and AI agents. It handles the infrastructure for storing, indexing, and querying billions of high-dimensional vectors, so developers do not need to manage servers, sharding, or scaling themselves. The service is serverless, and the site states that data updates are indexed and searchable within seconds. The platform supports hybrid search, combining dense vector embeddings, sparse embeddings, keyword search, and metadata filtering in a single query. It offers multi-tenancy through support for millions of namespaces and thousands of queries per second, and includes built-in embedding, reranking, and planning models alongside the core vector store. Pinecone runs on AWS, GCP, and Azure, with a bring-your-own-cloud (BYOC) option, and it is accessed through a REST API with SDKs in multiple languages. It also integrates with frameworks and platforms including LangChain, Vercel, n8n, and Databricks, and provides MCP servers and dedicated skills for use with Claude and other agent frameworks. Pinecone was founded in 2019 by Edo Liberty, a former Amazon AI Labs research director, and is based in New York. Pricing is usage-based across Starter, Standard, and Enterprise tiers, billed per operation with a Read Units model for managing serverless costs.