Vector Database
Data & Infrastructure
Database optimized for similarity search
What is Vector Database?
Stores and queries high-dimensional vectors (embeddings). Essential for RAG, recommendation systems, and semantic search.
Real-World Examples
- •Pinecone
- •Weaviate
- •Milvus
- •Chroma
- •Storing document embeddings for RAG
When to Use This
For semantic search, recommendations, or RAG applications
Related Terms
Learn more about concepts related to Vector Database