Data → Data Platforms
Vector Database
A database optimized for storing and searching vector embeddings by similarity.
Motivation
A vector database solves the problem of storing and searching embeddings efficiently.
Where it fits
It belongs to AI applications and data systems.
Mental model
Instead of exact key lookup, it finds nearby vectors according to a similarity metric.
Important details
Vector databases are often used with RAG, semantic search, recommendations, and multimodal retrieval.
Common mistakes
- Treating vector search as a replacement for all database queries.
- Ignoring filtering, ranking, and freshness.