What Does This Mean?
A database that stores data as embeddings, numerical vectors in a high-dimensional space, and retrieves records by similarity rather than exact match, usually with approximate nearest neighbor search. It is a common building block for retrieval-augmented generation with large language models.
EXPLAINER
AssemblyAI · original source ↗
EXPLAINER
MongoDB · original source ↗
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REAL-WORLD EXAMPLE
""The chatbot pulls matching docs from a vector database before it answers.""
LORE & ORIGIN
Wikipedia describes vector databases as storing embeddings and retrieving semantically close records, calls retrieval-augmented generation (the 2020 Lewis et al. paper) an especially common use case, and notes 2023 press coverage of vector database companies such as Chroma and Pinecone raising seed funding amid generative-AI demand.
MENTIONS OVER TIME
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