AI & MLvector-database
Vector Database
A database optimized for storing and querying high-dimensional vector embeddings using similarity search (cosine distance, dot product, Euclidean distance). Examples: Pinecone, Weaviate, Qdrant, ChromaDB, pgvector. Vector databases power RAG systems by quickly finding the most relevant documents for a given query embedding. Essential for AI-powered developer tools and documentation search.
Related terms
2AI & ML
Embedding
A dense vector representation of text (or other data) in a continuous high-dimensional space where semantically similar...
AI & ML
RAG (Retrieval-Augmented Generation)
An AI architecture that combines LLMs with external knowledge retrieval. Instead of relying solely on training data, RAG...