Vector Database
A database optimized for storing and searching high-dimensional data representations used in AI and semantic search.
What Is Vector Database?
A vector database stores data as high-dimensional mathematical representations (embeddings) that capture semantic meaning. Unlike traditional databases that match exact keywords, vector databases find results based on conceptual similarity. This powers semantic search ('find documents about cost reduction' matches 'budget optimization strategies'), recommendation engines, image similarity search, and RAG systems
Popular vector databases include Pinecone, Weaviate, and pgvector. They are essential infrastructure for modern AI applications.
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Explore AI-Powered SolutionsRelated Terms
Retrieval-Augmented Generation (RAG)
AIA technique that enhances AI responses by retrieving relevant information from a knowledge base before generating answers.
Machine Learning (ML)
AIA subset of AI where algorithms learn patterns from data to make predictions or decisions without being explicitly programmed.
Artificial Intelligence (AI)
AIComputer systems that perform tasks normally requiring human intelligence such as learning, reasoning, and problem-solving.