{
  "slug": "weaviate",
  "name": "Weaviate",
  "url": "https://weaviate.io",
  "cat": "search",
  "group": "back",
  "tagline": "Open-source vector DB + cloud",
  "price": "OSS free (BSD-3). Cloud free sandbox always free: 100K objects, 1GB memory, 10GB disk, 1 collection, 3 tenants, 1 cluster. Flex from $45/mo. Premium from $400/mo. Vector dimensions $0.00465 per 1M on Flex; storage from $0.12/GiB.",
  "tier": "mixed",
  "pick": false,
  "what": "A Go vector database that stores objects and vectors together and does hybrid BM25-plus-vector search natively. Its module system calls OpenAI, Cohere, HuggingFace or its own embedding service for you at ingest and query time, so you never write embedding code. Built-in generative search and reranking.",
  "why": "Vectorizer modules let you hand it raw text and skip the embedding pipeline entirely. Its Query Agent turns natural-language questions into filtered searches without you learning the query DSL.",
  "warn": "The free sandbox allows <b>one collection and three tenants</b>. On Flex, dimensions and embeddings bill separately from the $45 base, so the real invoice is not $45.",
  "install": "docker run -p 8080:8080 cr.weaviate.io/semitechnologies/weaviate:1.36.0",
  "category": {
    "key": "search",
    "name": "Search, vector & RAG",
    "desc": "Keyword search, vector stores, and web-search APIs for agents — three different things.",
    "group": "back",
    "groupName": "Give it a backend"
  },
  "freshness": null,
  "health": {
    "ok": true,
    "status_code": 200,
    "final_url": "https://weaviate.io/",
    "checked_at": "2026-08-18T18:09:22.039+00:00"
  },
  "corrected_at": null,
  "upstream_changed_at": null
}