{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/kb-2026-00255",
  "headline": "Vector Databases",
  "description": "Vector databases store and query high-dimensional vector embeddings for similarity search, powering AI applications (semantic search, RAG, recommendation). Instead of exact match, they find nearest neighbors using Approximate Nearest Neighbor (ANN) algorithms. Key players: Pinecone, Weaviate, Qdrant, Milvus, pgvector (PostgreSQL extension).",
  "dateCreated": "2026-05-22T14:59:47.685Z",
  "dateModified": "2026-05-22T14:59:47.685Z",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "human_only",
  "citation": []
}