Data/ML/AIDatabasesEmergingAround since 2019
Vector Database
Also written as Pinecone, Embeddings Database, Weaviate, Qdrant, Milvus, pgvector, ChromaDB
A database optimized for storing and searching 'embeddings' — numerical representations of meaning — so a system can find content that's semantically similar, not just keyword-matching.
Think of it like
Like a library organized by the actual meaning and mood of each book instead of alphabetically by title, so 'find me something like this one' actually works.
Junior or senior?
Junior sounds like
Names the vector database they picked with no further detail.
Senior sounds like
Can explain what makes vector search different from a traditional database index.
Ask them
“What made you choose a vector database over adding vector search to a database you already had?”