Infrastructure
Vector Database
A database designed to store and search AI embeddings, so you can find things by meaning, not just by exact text match.
Definition
A database optimized for storing, indexing, and querying high-dimensional vector embeddings. Enables fast similarity search across millions of vectors. Examples include Pinecone, Weaviate, and Chroma.
Why it matters
The essential infrastructure component for RAG systems, semantic search, and AI-powered recommendation engines.
Related terms in Infrastructure
API
A digital plug or messenger that lets two different software programs talk to each other.
API Gateway
The security guard at the front door of your software that checks IDs and directs traffic.
Cloud Computing
Renting powerful computers over the internet instead of buying and keeping them in your own office.
Edge AI
Running AI directly on the device (phone, camera, car) instead of sending data to the cloud, faster and more private.
From vocabulary to outcomes
Ready to put Vector Database to work?
Knowing the term is step one. Deploying it inside a revenue architecture that compounds is what Sophizo builds.
Book a Discovery Call