vector database

Vector Database

A vector database stores embeddings and performs similarity search for semantic retrieval, recommendations, and retrieval-augmented generation.

Jul 18, 2026 by Daniel Mercer • 1 min read

Semantic search uses embeddings to retrieve information by meaning and context, finding relevant results even when documents use different words.

Jul 4, 2026 by Daniel Mercer • 1 min read

Retrieval-augmented generation (RAG) combines search with generative AI so responses use relevant documents, current data, and source context.

Jun 19, 2026 by Daniel Mercer • 1 min read