Vector Database
Also known as: Vector Store, Vector DB, Embedding Database
A specialized database designed to store, index, and query high-dimensional vector embeddings, enabling efficient similarity search used in RAG systems and AI applications.
Sources & References
Pinecone
Related Terms
Embeddings
Dense numerical vector representations of data (text, images, audio) that capture semantic meaning, enabling similarity comparisons and machine learning operations in a continuous vector space.
Knowledge Base
A structured repository of information, facts, and relationships used by AI systems as a source of context and ground truth for answering queries and making decisions.
Retrieval-Augmented Generation
A technique that enhances AI model outputs by retrieving relevant information from external knowledge sources and incorporating it into the model's context before generating a response.
Semantic Search
A search methodology that understands the contextual meaning and intent behind a query rather than matching exact keywords, using embeddings and vector similarity to find semantically relevant results.