Vector databases like pgvector, Pinecone, and Weaviate are optimized for similarity search using mathematical distance metrics (cosine similarity, Euclidean distance). They store embeddings generated by machine learning models and enable fast nearest-neighbor search. Essential for RAG systems, semantic search, recommendation engines, and AI applications.
🧠 AI & LLMs + ⚙️ AI Infrastructure intermediate
Vector Database
Specialized database for storing and searching high-dimensional vector embeddings.
// Example Usage
SELECT * FROM documents ORDER BY embedding <=> query_embedding LIMIT 5;
</> Related Terms
Embedding
Numerical vector representation of text, images, or other data for machine learning.
PostgreSQL
Open-source relational database with advanced features like JSONB, full-text search, and extensions.
RAG (Retrieval-Augmented Generation)
AI technique combining vector search with LLMs to provide contextual answers from custom knowledge bases.
pgvector
PostgreSQL extension that adds vector similarity search capabilities for AI and machine learning applications.