A database designed to store and query vector embeddings, enabling semantic search and AI applications to retrieve relevant contexts.
A vector store is a system that stores embeddings and enables similarity search. Some vector stores are full databases; others are features layered on top of existing databases. In practice, “vector store” usually refers to the retrieval component used in RAG pipelines.
Browse related definitions in the same glossary category.
Data Enrichment
The process of enhancing existing data with third-party data to make it more useful and insightful.
Data Normalisation
Organising database tables to reduce redundancy and improve data integrity through structured relationships.
Data Warehouse
A centralized repository of integrated data from one or more disparate sources, used for reporting and data analysis.
ETL / ELT
Extract, Transform, Load - processes for moving and transforming data between systems. ELT loads raw data first, then transforms.
Event-Driven Architecture
A design pattern where systems communicate through events, enabling loose coupling and real-time processing.
Multi-Tenant Architecture
A system design where a single instance serves multiple customers (tenants) with data isolation.
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