Pinecone

Pinecone offers a serverless vector database that can transform and index a large number of high dimensional vectors to search across multiple applications and answer queries as the nearest neighbor search (NNS). The company’s technology leverages AI-generated representations of unstructured data that encapsulate the meaning of the original content in a machine-readable format to enable its users to store and search for data using a number of methods such as keywords, semantic text, multimodal, and image retrieval. As of March 2022, the company had offices in the US and Israel.

In September 2021, the company launched “Pinecone 2.0,” which included features such as hybrid memory, disk storage, granular search control, low latencies, and what it claims to be up to a 10x infrastructure cost reduction. Users can store metadata such as a topic, an author, and/or a category with each item and filter vector searches by this metadata in a single stage to access a higher degree of control over search results and eliminate the need for slow filtering.

In January 2024, Pinecone launched a new serverless vector database product that enables enterprises to build more complex AI applications and reduce costs. Pinecone Serverless's main features include separating reads, writes, and storage, and enabling vector clustering atop blob storage to support large volumes of data. It also introduced new indexing and retrieval algorithms to enable fast vector search across this blob storage, as well as a multi-tenant compute layer.

Funding and financials

The company raised USD 100 million in Series B funding , led by Andreessen Horowitz, in April 2023, to invest in recruitment and capitalizing on the opportunities presented by the growth in AI. The funding came about one year after Pinecone raised USD 28 million in Series A funding, led by Menlo Ventures, in March 2022.