Vector Database
Category: AI Infrastructure
📖 Definition
A vector database is a specialized storage system designed to efficiently store and search through embeddings. It enables fast similarity search across millions of vectors.
🔑 Key Points
- Stores numerical vector representations of data
- Enables finding 'similar' items by measuring vector distance
- Pinecone, Weaviate, and Chroma are popular options
- Essential for building RAG and recommendation systems
💡 Why It Matters
Vector databases power AI applications that need to find relevant information quickly, like semantic search and RAG systems.