I’ve been struggling for the past few weeks to understand what vector databases are, and why is it a popular buzzword in AI.
Every article, video, or course I’ve found on vector databases has left me confused after the first few sentences. There’s a lot of jargon like “vectors”, “embeddings”, “RAG”, “semantic search”, etc., and it’s hard to understand vector databases without first knowing what these are.
Let’s start at the beginning.
