Pinecone

Pinecone is a vector database where developers can store relevant contextual data for LLMs. Instead of constantly transferring vast sets of documents with each API call, developers can store the information in a Pinecone database and then select only the most pertinent ones for any given query — an approach known as in-context learning. Vector databases like Pinecone are specifically designed to support LLMs and machine learning models. They store vector embeddings and numerical representations of unstructured data (such as images, text, and video) in order to capture certain features. Vector embeddings enable the translation of semantic similarity into proximity in a vector space. They are well-suited for common machine learning tasks such as clustering, recommendation, and classification.